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ORCIDBing Qin 0001
Person information
- affiliation: Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China
- affiliation (PhD 2005): Harbin Institute of Technology, Department of Computer Science, China
Other persons with the same name
- Bing Qin 0002 — Air Force Engineering University, Xi'an, China
- Bing Qin 0003 — Suqian First Hospital, 9Department of Ophthalmology, China
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2020 – today
- 2024
[j59]Tao He
, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin:
VEM2L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion. Data Min. Knowl. Discov. 38(2): 343-371 (2024)- [j58]Bowen Chen, Xiao Ding, Yi Zhao, Bo Fu, Tingmao Lin, Bing Qin, Ting Liu:
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty? Mach. Intell. Res. 21(2): 283-293 (2024) - [j57]Tingting Wu, Xiao Ding, Li Du, Bing Qin, Ting Liu:
Reasoning subevent relation over heterogeneous event graph. Knowl. Inf. Syst. 66(9): 5311-5333 (2024) - [j56]Jinglong Gao, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin:
Event Causality Identification via Competitive-Cooperative Cognition Networks. Knowl. Based Syst. 300: 112139 (2024) - [j55]Zhangyin Feng, Duyu Tang, Xiaocheng Feng, Cong Zhou, Junwei Liao, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
Pretraining without wordpieces: learning over a vocabulary of millions of words. Int. J. Mach. Learn. Cybern. 15(9): 3989-3998 (2024) - [j54]Tingting Wu, Xiao Ding, Hao Zhang, Minji Tang, Bing Qin, Ting Liu:
Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement. Neural Networks 176: 106383 (2024) - [j53]Qianlong Wang, Hongling Xu, Zhiyuan Wen, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu:
Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 15(3): 1264-1278 (2024) - [j52]Xiachong Feng, Xiaocheng Feng, Xiyuan Du, Min-Yen Kan, Bing Qin:
Adapter-Based Selective Knowledge Distillation for Federated Multi-Domain Meeting Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3694-3708 (2024) - [j51]Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Minji Tang, Li Du, Bing Qin, Ting Liu:
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. IEEE Trans. Multim. 26: 1957-1968 (2024) - [c180]Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin:
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. AAAI 2024: 18144-18152 - [c179]Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu:
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification. AAAI 2024: 19126-19134 - [c178]Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin:
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. AAAI 2024: 21958-21966 - [c177]Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin:
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation. ACL (1) 2024: 1044-1069 - [c176]Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu:
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. ACL (1) 2024: 1173-1203 - [c175]Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin:
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models. ACL (1) 2024: 1204-1228 - [c174]Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin:
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. ACL (1) 2024: 1229-1248 - [c173]Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu:
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. ACL (Findings) 2024: 3879-3890 - [c172]Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin:
Planning Like Human: A Dual-process Framework for Dialogue Planning. ACL (1) 2024: 4768-4791 - [c171]Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin:
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. ACL (1) 2024: 6385-6432 - [c170]Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, GongZhang GongZhang, Bing Qin, Ting Liu:
AS-ES Learning: Towards efficient CoT learning in small models. ACL (Findings) 2024: 10686-10697 - [c169]Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu, Yanyan Zhao, Chen Wei, Bing Qin:
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence. ACL (Findings) 2024: 11157-11176 - [c168]Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che:
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. ACL (1) 2024: 11641-11661 - [c167]Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin:
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models. ACL (1) 2024: 11991-12011 - [c166]Yuhang He, Jianzhu Bao, Yang Sun, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu:
Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning. ACL (Findings) 2024: 12305-12322 - [c165]Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin:
Learning Fine-Grained Grounded Citations for Attributed Large Language Models. ACL (Findings) 2024: 14095-14113 - [c164]Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin:
Causal-Guided Active Learning for Debiasing Large Language Models. ACL (1) 2024: 14455-14469 - [c163]Zihao Zheng, Zihan Zhang, Zexin Wang, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition. LREC/COLING 2024: 4498-4508 - [c162]Bichen Wang, Yuzhe Zi, Yanyan Zhao, Pengfei Deng, Bing Qin:
ESDM: Early Sensing Depression Model in Social Media Streams. LREC/COLING 2024: 6288-6298 - [c161]Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Hui Wang, Bing Qin:
Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation. LREC/COLING 2024: 7901-7912 - [c160]Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin:
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. LREC/COLING 2024: 14215-14226 - [c159]Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin:
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models. LREC/COLING 2024: 14937-14953 - [c158]Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin:
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. LREC/COLING 2024: 16527-16538 - [c157]Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills. ICASSP 2024: 11576-11580 - [c156]Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao, Maojin Yang, Bing Qin:
Retrieval-Generation Synergy Augmented Large Language Models. ICASSP 2024: 11661-11665 - [c155]Zihao Zheng, Tao He, Ming Liu, Zhongyuan Wang, Ruiji Fu, Bing Qin:
Relational Graph-Bridged Image-Text Interaction: A Novel Method for Multi-Modal Relation Extraction. ICASSP 2024: 12647-12651 - [c154]Bichen Wang, Pengfei Deng, Song Chen, Yanyan Zhao, Bing Qin:
Leveraging Psychiatric Scale for Suicide Risk Detection on Social Media. ICWSM 2024: 1599-1610 - [i138]Yichong Huang, Xiaocheng Feng, Baohang Li, Chengpeng Fu, Wenshuai Huo, Ting Liu, Bing Qin:
Aligning Translation-Specific Understanding to General Understanding in Large Language Models. CoRR abs/2401.05072 (2024) - [i137]Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che:
DAPT: A Dual Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. CoRR abs/2401.08295 (2024) - [i136]Yaojia Lv, Haojie Pan, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models. CoRR abs/2401.08438 (2024) - [i135]Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin:
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. CoRR abs/2401.11403 (2024) - [i134]Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu:
Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis. CoRR abs/2401.16107 (2024) - [i133]Haochun Wang, Sendong Zhao, Zewen Qiang, Bing Qin, Ting Liu:
Beyond the Answers: Reviewing the Rationality of Multiple Choice Question Answering for the Evaluation of Large Language Models. CoRR abs/2402.01349 (2024) - [i132]Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu, Yanyan Zhao, Chen Wei, Bing Qin:
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence. CoRR abs/2402.10073 (2024) - [i131]Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Jun Shi, Ting Liu, Bing Qin:
Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning. CoRR abs/2402.11537 (2024) - [i130]Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, Bing Qin, Ting Liu:
AS-ES Learning: Towards Efficient CoT Learning in Small Models. CoRR abs/2403.01969 (2024) - [i129]Xin Lu, Yanyan Zhao, Bing Qin:
Vanilla Transformers are Transfer Capability Teachers. CoRR abs/2403.01994 (2024) - [i128]Xin Lu, Yanyan Zhao, Bing Qin:
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider Transformer Models. CoRR abs/2403.02436 (2024) - [i127]Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu:
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. CoRR abs/2403.08377 (2024) - [i126]Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao:
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. CoRR abs/2403.09085 (2024) - [i125]Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin:
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. CoRR abs/2403.16662 (2024) - [i124]Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin:
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. CoRR abs/2404.01677 (2024) - [i123]Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu:
Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration. CoRR abs/2404.12715 (2024) - [i122]Weixiang Zhao, Yulin Hu, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Tat-Seng Chua:
Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching. CoRR abs/2405.13820 (2024) - [i121]Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin:
MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability. CoRR abs/2405.14488 (2024) - [i120]Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin:
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation. CoRR abs/2405.20092 (2024) - [i119]Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin:
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation. CoRR abs/2406.01549 (2024) - [i118]Bichen Wang, Yuzhe Zi, Yixin Sun, Yanyan Zhao, Bing Qin:
RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models. CoRR abs/2406.01983 (2024) - [i117]Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu:
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. CoRR abs/2406.02911 (2024) - [i116]Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin:
Planning Like Human: A Dual-process Framework for Dialogue Planning. CoRR abs/2406.05374 (2024) - [i115]Hao Yang, Yanyan Zhao, Yang Wu, Shilong Wang, Tian Zheng, Hongbo Zhang, Wanxiang Che, Bing Qin:
Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey. CoRR abs/2406.08068 (2024) - [i114]Weitao Ma, Xiaocheng Feng, Weihong Zhong, Lei Huang, Yangfan Ye, Bing Qin:
Rethinking Entity-level Unlearning for Large Language Models. CoRR abs/2406.15796 (2024) - [i113]Muzhen Cai, Sendong Zhao, Haochun Wang, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu:
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views. CoRR abs/2406.18020 (2024) - [i112]Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. CoRR abs/2406.18227 (2024) - [i111]Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin:
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. CoRR abs/2406.19820 (2024) - [i110]Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin:
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models. CoRR abs/2407.00569 (2024) - [i109]Zike Yuan, Ming Liu, Hui Wang, Bing Qin:
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models. CoRR abs/2407.02936 (2024) - [i108]Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin:
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. CoRR abs/2407.08937 (2024) - [i107]Jinglong Gao, Chen Lu, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin:
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion. CoRR abs/2408.03079 (2024) - [i106]Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin:
Learning Fine-Grained Grounded Citations for Attributed Large Language Models. CoRR abs/2408.04568 (2024) - [i105]Kai Xiong, Xiao Ding, Li Du, Jiahao Ying, Ting Liu, Bing Qin, Yixin Cao:
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning. CoRR abs/2408.11431 (2024) - [i104]Li Du, Zhouhao Sun, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin:
Causal-Guided Active Learning for Debiasing Large Language Models. CoRR abs/2408.12942 (2024) - 2023
- [j50]Jiaqi Li, Ming Liu, Yuxin Wang, Daxing Zhang, Bing Qin:
A speaker-aware multiparty dialogue discourse parser with heterogeneous graph neural network. Cogn. Syst. Res. 79: 15-23 (2023) - [j49]Zekun Wang, Haichao Zhu, Ming Liu, Bing Qin:
TAGNet: a tiny answer-guided network for conversational question generation. Int. J. Mach. Learn. Cybern. 14(5): 1921-1932 (2023) - [c153]Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin:
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. AAAI 2023: 3715-3723 - [c152]Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang:
Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. AAAI 2023: 12580-12588 - [c151]Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin:
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment. AAAI 2023: 14020-14028 - [c150]Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin, Jingshuo Liu:
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing. ACL (1) 2023: 2868-2882 - [c149]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin:
Towards Higher Pareto Frontier in Multilingual Machine Translation. ACL (1) 2023: 3802-3818 - [c148]Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. ACL (Findings) 2023: 4856-4873 - [c147]Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin:
Improved Visual Story Generation with Adaptive Context Modeling. ACL (Findings) 2023: 4939-4955 - [c146]Weixiang Zhao, Yanyan Zhao, Shilong Wang, Bing Qin:
TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition. ACL (Findings) 2023: 6725-6739 - [c145]Yice Zhang, Yifan Yang, Bin Liang, Shiwei Chen, Bing Qin, Ruifeng Xu:
An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis. ACL (Findings) 2023: 9633-9651 - [c144]Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Weihong Zhong, Bing Qin:
Controllable Text Generation via Probability Density Estimation in the Latent Space. ACL (1) 2023: 12590-12616 - [c143]Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang:
A Diffusion Model for Event Skeleton Generation. ACL (Findings) 2023: 12630-12641 - [c142]Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu:
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. ACL (1) 2023: 13277-13291 - [c141]Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin:
Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness. ACL (Findings) 2023: 13331-13344 - [c140]Wenjia Yi, Yanyan Zhao, Jianhua Yuan, Weixiang Zhao, Bing Qin:
Improving Affective Event Classification with Multi-perspective Knowledge Injection. CCL 2023: 400-416 - [c139]Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin:
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. EMNLP (Findings) 2023: 1101-1112 - [c138]Chenran Cai, Qianlong Wang, Bin Liang, Bing Qin, Min Yang, Kam-Fai Wong, Ruifeng Xu:
In-context Learning for Few-shot Multimodal Named Entity Recognition. EMNLP (Findings) 2023: 2969-2979 - [c137]Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin:
Hierarchical Catalogue Generation for Literature Review: A Benchmark. EMNLP (Findings) 2023: 6790-6804 - [c136]Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin:
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. EMNLP (Findings) 2023: 7572-7590 - [c135]Bichen Wang, Pengfei Deng, Yanyan Zhao, Bing Qin:
C2D2 Dataset: A Resource for the Cognitive Distortion Analysis and Its Impact on Mental Health. EMNLP (Findings) 2023: 10149-10160 - [c134]Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu:
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. EMNLP (Findings) 2023: 11111-11126 - [c133]Geng Tu, Bin Liang, Bing Qin, Kam-Fai Wong, Ruifeng Xu:
An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations. EMNLP (Findings) 2023: 12160-12173 - [c132]Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Hui Wang, Bing Qin, Ting Liu:
Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations. EMNLP (Findings) 2023: 12608-12618 - [c131]Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu:
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. EMNLP 2023: 14855-14870 - [c130]Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin:
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document. EMNLP (Findings) 2023: 15218-15233 - [c129]Jie Huang, Xiachong Feng, Yangfan Ye, Liang Zhao, Xiaocheng Feng, Bing Qin, Ting Liu:
Dialogue Context Modelling for Action Item Detection: Solution for ICASSP 2023 Mug Challenge Track 5. ICASSP 2023: 1-2 - [c128]Xin Lu, Weixiang Zhao, Yanyan Zhao, Bing Qin, Zhentao Zhang, Junjie Wen:
A Topic-Enhanced Approach for Emotion Distribution Forecasting in Conversations. ICASSP 2023: 1-5 - [c127]Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation. IJCAI 2023: 1177-1185 - [c126]Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin:
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. IJCAI 2023: 5039-5048 - [c125]Chenran Cai, Qin Zhao, Ruifeng Xu, Bing Qin:
Improving Conversational Aspect-Based Sentiment Quadruple Analysis with Overall Modeling. NLPCC (3) 2023: 149-161 - [c124]Chenran Cai, Qin Zhao, Ruifeng Xu, Bing Qin:
Multimodal Dialogue Understanding via Holistic Modeling and Sequence Labeling. NLPCC (3) 2023: 399-411 - [c123]Chi Liu, Haochun Wang, Nuwa Xi, Sendong Zhao, Bing Qin:
Global Prompt Cell: A Portable Control Module for Effective Prompt Tuning. NLPCC (1) 2023: 657-668 - [c122]Yang Wu, Pai Peng, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
An End-to-End Transformer with Progressive Tri-Modal Attention for Multi-modal Emotion Recognition. PRCV (7) 2023: 396-408 - [c121]Xin Lu, Zhuojun Li, Yanpeng Tong, Yanyan Zhao, Bing Qin:
HIT-SCIR at WASSA 2023: Empathy and Emotion Analysis at the Utterance-Level and the Essay-Level. WASSA@ACL 2023: 574-580 - [c120]Zhenran Xu, Zifei Shan, Yuxin Li, Baotian Hu, Bing Qin:
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark. WSDM 2023: 832-840 - [e4]