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ORCIDFei Huang 0004
Person information
- affiliation: Alibaba Group, DAMO Academy, Institute of Intelligent Computing, China
Other persons with the same name
- Fei Huang — disambiguation page
- Fei Huang 0001 — Virginia Tech, Blacksburg, VA, USA
- Fei Huang 0002 — Carnegie Mellon University, Pittsburgh, USA
- Fei Huang 0003
![[0000-0002-6187-9958]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6187-9958")
— Anhui University, Key Laboratory of Intelligent Computing and Signal Processing, Hefei, China - Fei Huang 0005 — Tsinghua University, Beijing National Research Center for Information Science and Technology, Institute for Artificial Intelligence, Beijing, China
- Fei Huang 0006 — Harbin Engineering University, College of Intelligent Systems Science and Engineering, Qingdao Innovation and Development Center, China
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2020 – today
- 2025
[j12]Rujiao Long, Hangdi Xing, Zhibo Yang, Qi Zheng, Zhi Yu, Fei Huang, Cong Yao:
LORE++: Logical location regression network for table structure recognition with pre-training. Pattern Recognit. 157: 110816 (2025)- 2024
- [b1]Fei Huang:
Multilingual named Entity Extraction and Translation from Text and Speech. Karlsruhe University, Germany, 2024 - [j11]Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He, Shao Yuan, Can Ma, Fei Huang, Yongbin Li:
Unifying Structured Data as Graph for Data-to-Text Pre-Training. Trans. Assoc. Comput. Linguistics 12: 210-228 (2024) - [j10]Lei Huang, Zheng Yuan, Huihui Yan, Rong Sheng, Linjing Liu, Fuzhou Wang, Weidun Xie, Nanjun Chen, Fei Huang, Songfang Huang, Ka-Chun Wong, Yaoyun Zhang:
A Unified Conditional Diffusion Framework for Dual Protein Targets-Based Bioactive Molecule Generation. IEEE Trans. Artif. Intell. 5(9): 4595-4606 (2024) - [j9]Xiang Chen, Lei Li, Yuqi Zhu, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Ningyu Zhang, Huajun Chen:
Sequence Labeling as Non-Autoregressive Dual-Query Set Generation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1546-1558 (2024) - [j8]Hao Lang, Yinhe Zheng, Yixuan Li, Jian Sun, Fei Huang, Yongbin Li:
A Survey on Out-of-Distribution Detection in NLP. Trans. Mach. Learn. Res. 2024 (2024) - [c169]Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Haitao Zheng, Pengjun Xie, Fei Huang, Yong Jiang:
EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce. AAAI 2024: 18582-18590 - [c168]Feifan Song, Bowen Yu, Minghao Li, Haiyang Yu, Fei Huang, Yongbin Li, Houfeng Wang:
Preference Ranking Optimization for Human Alignment. AAAI 2024: 18990-18998 - [c167]Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang:
SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. AAAI 2024: 19458-19467 - [c166]Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou:
Speculative Contrastive Decoding. ACL (Short Papers) 2024: 56-64 - [c165]Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Gao Xing, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang:
SocialBench: Sociality Evaluation of Role-Playing Conversational Agents. ACL (Findings) 2024: 2108-2126 - [c164]Yunshui Li, Binyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shuzheng Si, Ling-Hao Chen, Junhao Liu, Tongliang Liu, Fei Huang, Yongbin Li:
One-Shot Learning as Instruction Data Prospector for Large Language Models. ACL (1) 2024: 4586-4601 - [c163]Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Kewei Tu:
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts. ACL (Findings) 2024: 7683-7694 - [c162]Yuanhang Zheng, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu:
Budget-Constrained Tool Learning with Planning. ACL (Findings) 2024: 9039-9052 - [c161]An Liu, Zonghan Yang, Zhenhe Zhang, Qingyuan Hu, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu:
PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs. ACL (Findings) 2024: 10960-10977 - [c160]Yuhan Chen, Ang Lv, Ting-En Lin, Changyu Chen, Yuchuan Wu, Fei Huang, Yongbin Li, Rui Yan:
Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use. ACL (1) 2024: 11160-11174 - [c159]Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu:
Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion. ACL (1) 2024: 11229-11245 - [c158]Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu:
Model Composition for Multimodal Large Language Models. ACL (1) 2024: 11246-11262 - [c157]Jiaxi Yang, Binyuan Hui, Min Yang, Bailin Wang, Bowen Li, Binhua Li, Fei Huang, Yongbin Li:
Iterative Forward Tuning Boosts In-Context Learning in Language Models. ACL (1) 2024: 15460-15473 - [c156]Hao Lang, Yinhe Zheng, Binyuan Hui, Fei Huang, Yongbin Li:
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts. LREC/COLING 2024: 12539-12552 - [c155]Feifan Song, Bowen Yu, Hao Lang, Haiyang Yu, Fei Huang, Houfeng Wang, Yongbin Li:
Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment. LREC/COLING 2024: 14358-14369 - [c154]Haoyu Gao, Ting-En Lin, Hangyu Li, Min Yang, Yuchuan Wu, Wentao Ma, Fei Huang, Yongbin Li:
Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models. LREC/COLING 2024: 14567-14578 - [c153]Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu:
Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training. LREC/COLING 2024: 14664-14675 - [c152]Yingxiu Zhao, Bowen Yu, Binyuan Hui, Haiyang Yu, Minghao Li, Fei Huang, Nevin L. Zhang, Yongbin Li:
Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment. LREC/COLING 2024: 16776-16789 - [c151]Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu:
Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval. LREC/COLING 2024: 17031-17041 - [c150]Qinghao Ye, Haiyang Xu, Jiabo Ye, Ming Yan, Anwen Hu, Haowei Liu, Qi Qian, Ji Zhang, Fei Huang:
mPLUG-OwI2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration. CVPR 2024: 13040-13051 - [c149]Jianqiang Wan, Sibo Song, Wenwen Yu, Yuliang Liu, Wenqing Cheng, Fei Huang, Xiang Bai, Cong Yao, Zhibo Yang:
OMNIPARSER: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition. CVPR 2024: 15641-15653 - [c148]Chaoya Jiang, Haiyang Xu, Mengfan Dong, Jiaxing Chen, Wei Ye, Ming Yan, Qinghao Ye, Ji Zhang, Fei Huang, Shikun Zhang:
Hallucination Augmented Contrastive Learning for Multimodal Large Language Model. CVPR 2024: 27026-27036 - [c147]Yong Cao, Ruixue Ding, Boli Chen, Xianzhi Li, Min Chen, Daniel Hershcovich, Pengjun Xie, Fei Huang:
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking. EACL (1) 2024: 1516-1530 - [c146]Peng Wang, Zhaohai Li, Jun Tang, Humen Zhong, Fei Huang, Zhibo Yang, Cong Yao:
Platypus: A Generalized Specialist Model for Reading Text in Various Forms. ECCV (35) 2024: 165-183 - [c145]Kang Chen, Qing Zhang, Chengbao Lian, Yixin Ji, Xuwei Liu, Shuguang Han, Guoqiang Wu, Fei Huang, Jufeng Chen:
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing. EMNLP (Industry Track) 2024: 697-711 - [c144]Shengyu Mao, Yong Jiang, Boli Chen, Xiao Li, Peng Wang, Xinyu Wang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang:
RaFe: Ranking Feedback Improves Query Rewriting for RAG. EMNLP (Findings) 2024: 884-901 - [c143]Xin Zhang, Yanzhao Zhang, Dingkun Long, Wen Xie, Ziqi Dai, Jialong Tang, Huan Lin, Baosong Yang, Pengjun Xie, Fei Huang, Meishan Zhang, Wenjie Li, Min Zhang:
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval. EMNLP (Industry Track) 2024: 1393-1412 - [c142]Liang Zhang, Anwen Hu, Haiyang Xu, Ming Yan, Yichen Xu, Qin Jin, Ji Zhang, Fei Huang:
TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging. EMNLP 2024: 1882-1898 - [c141]Anwen Hu, Haiyang Xu, Jiabo Ye, Ming Yan, Liang Zhang, Bo Zhang, Ji Zhang, Qin Jin, Fei Huang, Jingren Zhou:
mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding. EMNLP (Findings) 2024: 3096-3120 - [c140]Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou:
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model. EMNLP 2024: 5527-5542 - [c139]Minzheng Wang, Longze Chen, Fu Cheng, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li:
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA. EMNLP 2024: 5627-5646 - [c138]Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang:
Knowledge Mechanisms in Large Language Models: A Survey and Perspective. EMNLP (Findings) 2024: 7097-7135 - [c137]Hao Sun, Yong Jiang, Bo Wang, Yingyan Hou, Yan Zhang, Pengjun Xie, Fei Huang:
Retrieved In-Context Principles from Previous Mistakes. EMNLP 2024: 8155-8169 - [c136]Ruixuan Xiao, Wentao Ma, Ke Wang, Yuchuan Wu, Junbo Zhao, Haobo Wang, Fei Huang, Yongbin Li:
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents. EMNLP (Findings) 2024: 10883-10900 - [c135]Huawen Feng, Yan Fan, Xiong Liu, Ting-En Lin, Zekun Yao, Yuchuan Wu, Fei Huang, Yongbin Li, Qianli Ma:
Improving Factual Consistency of News Summarization by Contrastive Preference Optimization. EMNLP (Findings) 2024: 11084-11100 - [c134]Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang:
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent. EMNLP 2024: 16658-16680 - [c133]Houquan Zhou, Zhenghua Li, Bo Zhang, Chen Li, Shaopeng Lai, Ji Zhang, Fei Huang, Min Zhang:
A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models. EMNLP 2024: 17446-17467 - [c132]Haowei Liu, Xi Zhang, Haiyang Xu, Yaya Shi, Chaoya Jiang, Ming Yan, Ji Zhang, Fei Huang, Chunfeng Yuan, Bing Li, Weiming Hu:
MIBench: Evaluating Multimodal Large Language Models over Multiple Images. EMNLP 2024: 22417-22428 - [c131]Zhichao Yin, Binyuan Hui, Min Yang, Fei Huang, Yongbin Li:
DialCLIP: Empowering Clip As Multi-Modal Dialog Retriever. ICASSP 2024: 12421-12425 - [c130]Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong:
Training-Free Long-Context Scaling of Large Language Models. ICML 2024 - [c129]Le Yu, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li:
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch. ICML 2024 - [c128]Xiang Chen, Duanzheng Song, Honghao Gui, Chenxi Wang, Ningyu Zhang, Yong Jiang, Fei Huang, Chengfei Lyu, Dan Zhang, Huajun Chen:
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection. IJCAI 2024: 6216-6224 - [c127]Anwen Hu, Yaya Shi, Haiyang Xu, Jiabo Ye, Qinghao Ye, Ming Yan, Chenliang Li, Qi Qian, Ji Zhang, Fei Huang:
mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model. ACM Multimedia 2024: 6929-6938 - [c126]Xiao Li, Yong Jiang, Shen Huang, Pengjun Xie, Gong Cheng, Fei Huang:
Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning. NAACL-HLT 2024: 5657-5667 - [c125]Shengyu Mao, Xiaohan Wang, Mengru Wang, Yong Jiang, Pengjun Xie, Fei Huang, Ningyu Zhang:
Editing Personality For Large Language Models. NLPCC (2) 2024: 241-254 - [i208]Zhichao Yin, Binyuan Hui, Min Yang, Fei Huang, Yongbin Li:
DialCLIP: Empowering CLIP as Multi-Modal Dialog Retriever. CoRR abs/2401.01076 (2024) - [i207]Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He, Shao Yuan, Can Ma, Fei Huang, Yongbin Li:
Unifying Structured Data as Graph for Data-to-Text Pre-Training. CoRR abs/2401.01183 (2024) - [i206]Ningyu Zhang, Yunzhi Yao, Bozhong Tian, Peng Wang, Shumin Deng, Mengru Wang, Zekun Xi, Shengyu Mao, Jintian Zhang, Yuansheng Ni, Siyuan Cheng, Ziwen Xu, Xin Xu, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen:
A Comprehensive Study of Knowledge Editing for Large Language Models. CoRR abs/2401.01286 (2024) - [i205]Rujiao Long, Hangdi Xing, Zhibo Yang, Qi Zheng, Zhi Yu, Cong Yao, Fei Huang:
LORE++: Logical Location Regression Network for Table Structure Recognition with Pre-training. CoRR abs/2401.01522 (2024) - [i204]Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang:
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent. CoRR abs/2401.07324 (2024) - [i203]Junyang Wang, Haiyang Xu, Jiabo Ye, Ming Yan, Weizhou Shen, Ji Zhang, Fei Huang, Jitao Sang:
Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception. CoRR abs/2401.16158 (2024) - [i202]Zhihao Fan, Jialong Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Jun Xi, Fei Huang, Jingren Zhou:
AI Hospital: Interactive Evaluation and Collaboration of LLMs as Intern Doctors for Clinical Diagnosis. CoRR abs/2402.09742 (2024) - [i201]Zijun Liu, Boqun Kou, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu:
Meta Ranking: Less Capable Language Models are Capable for Single Response Judgement. CoRR abs/2402.12146 (2024) - [i200]Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu:
Browse and Concentrate: Comprehending Multimodal Content via prior-LLM Context Fusion. CoRR abs/2402.12195 (2024) - [i199]Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu:
Model Composition for Multimodal Large Language Models. CoRR abs/2402.12750 (2024) - [i198]An Liu, Zonghan Yang, Zhenhe Zhang, Qingyuan Hu, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu:
PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs. CoRR abs/2402.12835 (2024) - [i197]Yuanhang Zheng, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu:
Budget-Constrained Tool Learning with Planning. CoRR abs/2402.15960 (2024) - [i196]Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu:
Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval. CoRR abs/2402.16769 (2024) - [i195]Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong:
Training-Free Long-Context Scaling of Large Language Models. CoRR abs/2402.17463 (2024) - [i194]Jianyu Guan, Zongming Yin, Tianyi Zhang, Leihui Chen, Yin Zhang, Fei Huang, Jufeng Chen, Shuguang Han:
Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation. CoRR abs/2402.19101 (2024) - [i193]Zhikun Xu, Yinghui Li, Ruixue Ding, Xinyu Wang, Boli Chen, Yong Jiang, Hai-Tao Zheng, Wenlian Lu, Pengjun Xie, Fei Huang:
Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark. CoRR abs/2402.19248 (2024) - [i192]Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu:
Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training. CoRR abs/2403.00249 (2024) - [i191]Qiaoyu Tang, Jiawei Chen, Bowen Yu, Yaojie Lu, Cheng Fu, Haiyang Yu, Hongyu Lin, Fei Huang, Ben He, Xianpei Han, Le Sun, Yongbin Li:
Self-Retrieval: Building an Information Retrieval System with One Large Language Model. CoRR abs/2403.00801 (2024) - [i190]Mieradilijiang Maimaiti, Yuanhang Zheng, Ji Zhang, Fei Huang, Yue Zhang, Wenpei Luo, Kaiyu Huang:
Improving Cross-lingual Representation for Semantic Retrieval with Code-switching. CoRR abs/2403.01364 (2024) - [i189]Wei Ye, Chaoya Jiang, Haiyang Xu, Chenhao Ye, Chenliang Li, Ming Yan, Shikun Zhang, Songhang Huang, Fei Huang:
Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection. CoRR abs/2403.07883 (2024) - [i188]Feifan Song, Bowen Yu, Hao Lang, Haiyang Yu, Fei Huang, Houfeng Wang, Yongbin Li:
Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment. CoRR abs/2403.11124 (2024) - [i187]Anwen Hu, Haiyang Xu, Jiabo Ye, Ming Yan, Liang Zhang, Bo Zhang, Chen Li, Ji Zhang, Qin Jin, Fei Huang, Jingren Zhou:
mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding. CoRR abs/2403.12895 (2024) - [i186]Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Xing Gao, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang, Jingren Zhou:
RoleInteract: Evaluating the Social Interaction of Role-Playing Agents. CoRR abs/2403.13679 (2024) - [i185]Zonghan Yang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu:
ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy. CoRR abs/2403.14589 (2024) - [i184]Jianqiang Wan, Sibo Song, Wenwen Yu, Yuliang Liu, Wenqing Cheng, Fei Huang, Xiang Bai, Cong Yao, Zhibo Yang:
OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition. CoRR abs/2403.19128 (2024) - [i183]Hao Lang, Fei Huang, Yongbin Li:
Fine-Tuning Language Models with Reward Learning on Policy. CoRR abs/2403.19279 (2024) - [i182]Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Kewei Tu:
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts. CoRR abs/2404.02022 (2024) - [i181]Xiao Li, Yong Jiang, Shen Huang, Pengjun Xie, Gong Cheng, Fei Huang:
Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning. CoRR abs/2404.11384 (2024) - [i180]Zhengwei Tao, Ting-En Lin, Xiancai Chen, Hangyu Li, Yuchuan Wu, Yongbin Li, Zhi Jin, Fei Huang, Dacheng Tao, Jingren Zhou:
A Survey on Self-Evolution of Large Language Models. CoRR abs/2404.14387 (2024) - [i179]Liang Zhang, Anwen Hu, Haiyang Xu, Ming Yan, Yichen Xu, Qin Jin, Ji Zhang, Fei Huang:
TinyChart: Efficient Chart Understanding with Visual Token Merging and Program-of-Thoughts Learning. CoRR abs/2404.16635 (2024) - [i178]Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen:
Agent Planning with World Knowledge Model. CoRR abs/2405.14205 (2024) - [i177]Shengyu Mao, Yong Jiang, Boli Chen, Xiao Li, Peng Wang, Xinyu Wang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang:
RaFe: Ranking Feedback Improves Query Rewriting for RAG. CoRR abs/2405.14431 (2024) - [i176]Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen:
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models. CoRR abs/2405.14768 (2024) - [i175]Keming Lu, Bowen Yu, Fei Huang, Yang Fan, Runji Lin, Chang Zhou:
Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment. CoRR abs/2405.17931 (2024) - [i174]Junyang Wang, Haiyang Xu, Haitao Jia, Xi Zhang, Ming Yan, Weizhou Shen, Ji Zhang, Fei Huang, Jitao Sang:
Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration. CoRR abs/2406.01014 (2024) - [i173]Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Yongbin Li:
How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States. CoRR abs/2406.05644 (2024) - [i172]Zile Qiao, Wei Ye, Yong Jiang, Tong Mo, Pengjun Xie, Weiping Li, Fei Huang, Shikun Zhang:
Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling. CoRR abs/2406.08116 (2024) - [i171]Feiteng Mu, Yong Jiang, Liwen Zhang, Chu Liu, Wenjie Li, Pengjun Xie, Fei Huang:
Adaptive Selection for Homogeneous Tools: An Instantiation in the RAG Scenario. CoRR abs/2406.12429 (2024) - [i170]Ruixuan Xiao, Wentao Ma, Ke Wang, Yuchuan Wu, Junbo Zhao, Haobo Wang, Fei Huang, Yongbin Li:
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents. CoRR abs/2406.14884 (2024) - [i169]Minzheng Wang, Longze Chen, Cheng Fu, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li:
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA. CoRR abs/2406.17419 (2024) - [i168]Jingheng Ye, Yong Jiang, Xiaobin Wang, Yinghui Li, Yangning Li, Hai-Tao Zheng, Pengjun Xie, Fei Huang:
ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions. CoRR abs/2407.00942 (2024) - [i167]Hao Sun, Yong Jiang, Bo Wang, Yingyan Hou, Yan Zhang, Pengjun Xie, Fei Huang:
Retrieved In-Context Principles from Previous Mistakes. CoRR abs/2407.05682 (2024) - [i166]An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, Zhihao Fan:
Qwen2 Technical Report. CoRR abs/2407.10671 (2024) - [i165]Yuanzhi Zhu, Jiawei Liu, Feiyu Gao, Wenyu Liu, Xinggang Wang, Peng Wang, Fei Huang, Cong Yao, Zhibo Yang:
Visual Text Generation in the Wild. CoRR abs/2407.14138 (2024) - [i164]Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang:
Knowledge Mechanisms in Large Language Models: A Survey and Perspective. CoRR abs/2407.15017 (2024) - [i163]Haowei Liu, Xi Zhang, Haiyang Xu, Yaya Shi, Chaoya Jiang, Ming Yan, Ji Zhang, Fei Huang, Chunfeng Yuan, Bing Li, Weiming Hu:
MIBench: Evaluating Multimodal Large Language Models over Multiple Images. CoRR abs/2407.15272 (2024) - [i162]Xin Zhang, Yanzhao Zhang, Dingkun Long, Wen Xie, Ziqi Dai, Jialong Tang, Huan Lin, Baosong Yang, Pengjun Xie, Fei Huang, Meishan Zhang, Wenjie Li, Min Zhang:
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval. CoRR abs/2407.19669 (2024) - [i161]Le Yu, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li:
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement. CoRR abs/2408.03092 (2024) - [i160]Jiabo Ye, Haiyang Xu, Haowei Liu, Anwen Hu, Ming Yan, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou:
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models. CoRR abs/2408.04840 (2024) - [i159]Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou:
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model. CoRR abs/2408.10764 (2024) - [i158]Chaoya Jiang, Hongrui Jia, Haiyang Xu, Wei Ye, Mengfan Dong, Ming Yan, Ji Zhang, Fei Huang, Shikun Zhang:
MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model. CoRR abs/2408.12321 (2024) - [i157]Peng Wang, Zhaohai Li, Jun Tang, Humen Zhong, Fei Huang, Zhibo Yang, Cong Yao:
Platypus: A Generalized Specialist Model for Reading Text in Various Forms. CoRR abs/2408.14805 (2024) - [i156]Anwen Hu, Haiyang Xu, Liang Zhang, Jiabo Ye, Ming Yan, Ji Zhang, Qin Jin, Fei Huang, Jingren Zhou:
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding. CoRR abs/2409.03420 (2024) - [i155]