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2020 – today
- 2023
[c208]Jie Lei, Tamara L. Berg, Mohit Bansal:
Revealing Single Frame Bias for Video-and-Language Learning. ACL (1) 2023: 487-507- [c207]Prateek Yadav, Mohit Bansal:
Exclusive Supermask Subnetwork Training for Continual Learning. ACL (Findings) 2023: 569-587 - [c206]Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. ACL (2) 2023: 782-792 - [c205]Shiyue Zhang, David Wan, Mohit Bansal:
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization. ACL (1) 2023: 2153-2174 - [c204]Derek Tam, Anisha Mascarenhas, Shiyue Zhang, Sarah Kwan, Mohit Bansal, Colin Raffel:
Evaluating the Factual Consistency of Large Language Models Through News Summarization. ACL (Findings) 2023: 5220-5255 - [c203]Yu Zhou, Sha Li, Manling Li, Xudong Lin, Shih-Fu Chang, Mohit Bansal, Heng Ji:
Non-Sequential Graph Script Induction via Multimedia Grounding. ACL (1) 2023: 5529-5545 - [c202]Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David S. Rosenberg:
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies. ACL (1) 2023: 9027-9050 - [c201]Swarnadeep Saha, Xinyan Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz:
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. ACL (Findings) 2023: 11069-11090 - [c200]Archiki Prasad, Trung Bui, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Mohit Bansal:
MeetingQA: Extractive Question-Answering on Meeting Transcripts. ACL (1) 2023: 15000-15025 - [c199]Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius:
Vision Transformers are Parameter-Efficient Audio-Visual Learners. CVPR 2023: 2299-2309 - [c198]Feng Cheng, Xizi Wang, Jie Lei, David J. Crandall, Mohit Bansal, Gedas Bertasius:
VindLU: A Recipe for Effective Video-and-Language Pretraining. CVPR 2023: 10739-10750 - [c197]Jialu Li, Mohit Bansal:
Improving Vision-and-Language Navigation by Generating Future-View Image Semantics. CVPR 2023: 10803-10812 - [c196]Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal:
Unifying Vision, Text, and Layout for Universal Document Processing. CVPR 2023: 19254-19264 - [c195]Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal:
Hierarchical Video-Moment Retrieval and Step-Captioning. CVPR 2023: 23056-23065 - [c194]Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal:
Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction. EACL 2023: 1688-1699 - [c193]Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer:
Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models. EACL 2023: 2706-2723 - [c192]David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal:
Faithfulness-Aware Decoding Strategies for Abstractive Summarization. EACL 2023: 2856-2872 - [c191]Yi Fung, Han Wang, Tong Wang, Ali Kebarighotbi, Mohit Bansal, Heng Ji, Prem Natarajan:
DeepMaven: Deep Question Answering on Long-Distance Movie/TV Show Videos with Multimedia Knowledge Extraction and Synthesis. EACL 2023: 3033-3043 - [c190]Lisa Bauer, Hanna Tischer, Mohit Bansal:
Social Commonsense for Explanation and Cultural Bias Discovery. EACL 2023: 3727-3742 - [c189]Archiki Prasad, Peter Hase, Xiang Zhou, Mohit Bansal:
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models. EACL 2023: 3827-3846 - [c188]Swarnadeep Saha, Shiyue Zhang, Peter Hase, Mohit Bansal:
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees. ICLR 2023 - [c187]Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer:
On Conditional and Compositional Language Model Differentiable Prompting. IJCAI 2023: 4136-4144 - [c186]Xiang Zhou, Aditya Gupta, Shyam Upadhyay, Mohit Bansal, Manaal Faruqui:
Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions? *SEM@ACL 2023: 527-534 - [c185]Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal:
PERCEIVER-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention. WACV 2023: 4399-4409 - [i207]Peter Hase, Mohit Bansal, Been Kim, Asma Ghandeharioun:
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models. CoRR abs/2301.04213 (2023) - [i206]David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal:
Faithfulness-Aware Decoding Strategies for Abstractive Summarization. CoRR abs/2303.03278 (2023) - [i205]Adyasha Maharana, Amita Kamath, Christopher Clark, Mohit Bansal, Aniruddha Kembhavi:
Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models. CoRR abs/2303.16133 (2023) - [i204]Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal:
Hierarchical Video-Moment Retrieval and Step-Captioning. CoRR abs/2303.16406 (2023) - [i203]Jialu Li, Mohit Bansal:
Improving Vision-and-Language Navigation by Generating Future-View Image Semantics. CoRR abs/2304.04907 (2023) - [i202]Jaemin Cho, Linjie Li, Zhengyuan Yang, Zhe Gan, Lijuan Wang, Mohit Bansal:
Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation. CoRR abs/2304.06671 (2023) - [i201]Archiki Prasad, Swarnadeep Saha, Xiang Zhou, Mohit Bansal:
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness. CoRR abs/2304.10703 (2023) - [i200]Yi-Lin Sung, Linjie Li, Kevin Lin, Zhe Gan, Mohit Bansal, Lijuan Wang:
An Empirical Study of Multimodal Model Merging. CoRR abs/2304.14933 (2023) - [i199]David Wan, Shiyue Zhang, Mohit Bansal:
HistAlign: Improving Context Dependency in Language Generation by Aligning with History. CoRR abs/2305.04782 (2023) - [i198]Shoubin Yu, Jaemin Cho, Prateek Yadav, Mohit Bansal:
Self-Chained Image-Language Model for Video Localization and Question Answering. CoRR abs/2305.06988 (2023) - [i197]Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji:
Paxion: Patching Action Knowledge in Video-Language Foundation Models. CoRR abs/2305.10683 (2023) - [i196]Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal:
Any-to-Any Generation via Composable Diffusion. CoRR abs/2305.11846 (2023) - [i195]Jaemin Cho, Abhay Zala, Mohit Bansal:
Visual Programming for Text-to-Image Generation and Evaluation. CoRR abs/2305.15328 (2023) - [i194]Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David S. Rosenberg:
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies. CoRR abs/2305.16958 (2023) - [i193]Yu Zhou, Sha Li, Manling Li, Xudong Lin, Shih-Fu Chang, Mohit Bansal, Heng Ji:
Non-Sequential Graph Script Induction via Multimedia Grounding. CoRR abs/2305.17542 (2023) - [i192]Jialu Li, Mohit Bansal:
PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation. CoRR abs/2305.19195 (2023) - [i191]Prateek Yadav, Derek Tam, Leshem Choshen, Colin Raffel, Mohit Bansal:
Resolving Interference When Merging Models. CoRR abs/2306.01708 (2023) - [i190]Zhuofan Ying, Peter Hase, Mohit Bansal:
Adaptive Contextual Perception: How to Generalize to New Backgrounds and Ambiguous Objects. CoRR abs/2306.05963 (2023) - [i189]Swarnadeep Saha, Peter Hase, Mohit Bansal:
Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Theory of Mind. CoRR abs/2306.09299 (2023) - [i188]Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer:
On Conditional and Compositional Language Model Differentiable Prompting. CoRR abs/2307.01446 (2023) - [i187]Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Xiaofei Ma, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. CoRR abs/2307.02435 (2023) - [i186]Zun Wang, Jialu Li, Yicong Hong, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao:
Scaling Data Generation in Vision-and-Language Navigation. CoRR abs/2307.15644 (2023) - [i185]Ziyang Wang, Yi-Lin Sung, Feng Cheng, Gedas Bertasius, Mohit Bansal:
Unified Coarse-to-Fine Alignment for Video-Text Retrieval. CoRR abs/2309.10091 (2023) - [i184]Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal:
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs. CoRR abs/2309.13007 (2023) - [i183]Han Lin, Abhay Zala, Jaemin Cho, Mohit Bansal:
VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning. CoRR abs/2309.15091 (2023) - [i182]Vaidehi Patil, Peter Hase, Mohit Bansal:
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks. CoRR abs/2309.17410 (2023) - [i181]Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao:
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models. CoRR abs/2310.00754 (2023) - [i180]Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen:
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy. CoRR abs/2310.01334 (2023) - [i179]Yi-Lin Sung, Jaehong Yoon, Mohit Bansal:
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models. CoRR abs/2310.02998 (2023) - [i178]Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models. CoRR abs/2310.05861 (2023) - [i177]Adyasha Maharana, Prateek Yadav, Mohit Bansal:
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning. CoRR abs/2310.07931 (2023) - [i176]Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer:
Generating Summaries with Controllable Readability Levels. CoRR abs/2310.10623 (2023) - [i175]Abhay Zala, Han Lin, Jaemin Cho, Mohit Bansal:
DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning. CoRR abs/2310.12128 (2023) - [i174]Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, Mohit Bansal, Jason Weston, Xian Li:
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. CoRR abs/2310.15123 (2023) - [i173]Jaemin Cho, Yushi Hu, Roopal Garg, Peter Anderson, Ranjay Krishna, Jason Baldridge, Mohit Bansal, Jordi Pont-Tuset, Su Wang:
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation. CoRR abs/2310.18235 (2023) - [i172]Xiang Zhou, Yichen Jiang, Mohit Bansal:
Data Factors for Better Compositional Generalization. CoRR abs/2311.04420 (2023) - [i171]Archiki Prasad, Alexander Koller, Mareike Hartmann, Peter Clark, Ashish Sabharwal, Mohit Bansal, Tushar Khot:
ADaPT: As-Needed Decomposition and Planning with Language Models. CoRR abs/2311.05772 (2023) - [i170]Xiaohui Zhang, Jaehong Yoon, Mohit Bansal, Huaxiu Yao:
Multimodal Representation Learning by Alternating Unimodal Adaptation. CoRR abs/2311.10707 (2023) - 2022
- [j8]Matthew Marge, Carol Y. Espy-Wilson, Nigel G. Ward, Abeer Alwan, Yoav Artzi
, Mohit Bansal, Gilmer L. Blankenship, Joyce Chai, Hal Daumé III, Debadeepta Dey, Mary P. Harper, Thomas Howard, Casey Kennington, Ivana Kruijff-Korbayová, Dinesh Manocha, Cynthia Matuszek, Ross Mead, Raymond J. Mooney, Roger K. Moore, Mari Ostendorf, Heather Pon-Barry, Alexander I. Rudnicky, Matthias Scheutz, Robert St. Amant, Tong Sun, Stefanie Tellex, David R. Traum, Zhou Yu:
Spoken language interaction with robots: Recommendations for future research. Comput. Speech Lang. 71: 101255 (2022) - [j7]Aakash Gupta, Mohit Bansal:
Evaluation and Ranking of E-Government Websites Using Weighted-Combinative Distance-Based Assessment Approach. Int. J. Softw. Innov. 10(1): 1-15 (2022) - [c184]Hyounghun Kim, Doo Soon Kim, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Mohit Bansal:
CAISE: Conversational Agent for Image Search and Editing. AAAI 2022: 10903-10911 - [c183]Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avirup Sil, Shih-Fu Chang, Alexander G. Schwing, Heng Ji:
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. AAAI 2022: 11200-11208 - [c182]Hao Tan, Chen-Tse Tsai, Yujie He, Mohit Bansal:
Scientific Chart Summarization: Datasets and Improved Text Modeling. SDU@AAAI 2022 - [c181]Xiang Zhou, Yixin Nie, Mohit Bansal:
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning. ACL (Findings) 2022: 972-987 - [c180]Swarnadeep Saha, Prateek Yadav, Mohit Bansal:
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning. ACL (1) 2022: 1190-1208 - [c179]Shiyue Zhang, Benjamin Frey, Mohit Bansal:
How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language. ACL (1) 2022: 1529-1541 - [c178]Hyounghun Kim, Aishwarya Padmakumar, Di Jin, Mohit Bansal, Dilek Hakkani-Tur:
On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets. Insights@ACL 2022: 113-118 - [c177]Shiyue Zhang, Vishrav Chaudhary, Naman Goyal, James Cross, Guillaume Wenzek, Mohit Bansal, Francisco Guzmán:
How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? AMTA 2022: 97-116 - [c176]Danfeng Guo, Arpit Gupta, Sanchit Agarwal, Jiun-Yu Kao, Shuyang Gao, Arijit Biswas, Chien-Wei Lin, Tagyoung Chung, Mohit Bansal:
GRAVL-BERT: Graphical Visual-Linguistic Representations for Multimodal Coreference Resolution. COLING 2022: 285-297 - [c175]Adyasha Maharana, Mohit Bansal:
GraDA: Graph Generative Data Augmentation for Commonsense Reasoning. COLING 2022: 4499-4516 - [c174]Yi-Lin Sung, Jaemin Cho, Mohit Bansal:
VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks. CVPR 2022: 5217-5227 - [c173]Jialu Li, Hao Tan, Mohit Bansal:
Envedit: Environment Editing for Vision-and-Language Navigation. CVPR 2022: 15386-15396 - [c172]Adyasha Maharana, Darryl Hannan, Mohit Bansal:
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation. ECCV (37) 2022: 70-87 - [c171]Yan-Bo Lin, Jie Lei, Mohit Bansal, Gedas Bertasius:
EclipSE: Efficient Long-Range Video Retrieval Using Sight and Sound. ECCV (34) 2022: 413-430 - [c170]Swarnadeep Saha, Peter Hase, Nazneen Rajani, Mohit Bansal:
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations. EMNLP 2022: 2121-2131 - [c169]Lisa Bauer, Karthik Gopalakrishnan, Spandana Gella, Yang Liu, Mohit Bansal, Dilek Hakkani-Tur:
Analyzing the Limits of Self-Supervision in Handling Bias in Language. EMNLP (Findings) 2022: 7372-7386 - [c168]Arjun R. Akula, Spandana Gella, Aishwarya Padmakumar, Mahdi Namazifar, Mohit Bansal, Jesse Thomason, Dilek Hakkani-Tur:
ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments. EMNLP 2022: 9369-9378 - [c167]David Wan, Mohit Bansal:
Evaluating and Improving Factuality in Multimodal Abstractive Summarization. EMNLP 2022: 9632-9648 - [c166]Yichen Jiang, Xiang Zhou, Mohit Bansal:
Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality. EMNLP 2022: 11778-11793 - [c165]Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer:
How Much Can CLIP Benefit Vision-and-Language Tasks? ICLR 2022 - [c164]Adyasha Maharana, Quan Hung Tran, Franck Dernoncourt, Seunghyun Yoon, Trung Bui, Walter Chang, Mohit Bansal:
Multimodal Intent Discovery from Livestream Videos. NAACL-HLT (Findings) 2022: 476-489 - [c163]Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, Franck Dernoncourt, Trung Bui, Mohit Bansal:
Fine-grained Image Captioning with CLIP Reward. NAACL-HLT (Findings) 2022: 517-527 - [c162]Jialu Li, Hao Tan, Mohit Bansal:
CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations. NAACL-HLT (Findings) 2022: 633-649 - [c161]Hyounghun Kim, Abhay Zala, Mohit Bansal:
CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination. NAACL-HLT 2022: 911-923 - [c160]Adyasha Maharana, Mohit Bansal:
On Curriculum Learning for Commonsense Reasoning. NAACL-HLT 2022: 983-992 - [c159]David Wan, Mohit Bansal:
FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization. NAACL-HLT 2022: 1010-1028 - [c158]Xiang Zhou, Shiyue Zhang, Mohit Bansal:
Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging? NAACL-HLT 2022: 1099-1114 - [c157]Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer:
Efficient Few-Shot Fine-Tuning for Opinion Summarization. NAACL-HLT (Findings) 2022: 1509-1523 - [c156]Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan:
Proposition-Level Clustering for Multi-Document Summarization. NAACL-HLT 2022: 1765-1779 - [c155]Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Ido Dagan, Yael Amsterdamer:
Interactive Query-Assisted Summarization via Deep Reinforcement Learning. NAACL-HLT 2022: 2551-2568 - [c154]Sha Li, Mahdi Namazifar, Di Jin, Mohit Bansal, Heng Ji, Yang Liu, Dilek Hakkani-Tur:
Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs. NAACL-HLT 2022: 2810-2823 - [c153]Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal:
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. NAACL-HLT 2022: 3238-3253 - [c152]Yonatan Bitton, Nitzan Bitton Guetta, Ron Yosef, Yuval Elovici, Mohit Bansal, Gabriel Stanovsky, Roy Schwartz:
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models. NeurIPS 2022 - [c151]Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel:
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning. NeurIPS 2022 - [c150]Yi-Lin Sung, Jaemin Cho, Mohit Bansal:
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning. NeurIPS 2022 - [c149]Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal:
TVLT: Textless Vision-Language Transformer. NeurIPS 2022 - [c148]Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji:
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. NeurIPS 2022 - [c147]Zhuofan Ying, Peter Hase, Mohit Bansal:
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives. NeurIPS 2022 - [i169]Jaemin Cho, Abhay Zala, Mohit Bansal:
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers. CoRR abs/2202.04053 (2022) - [i168]Hyounghun Kim, Doo Soon Kim, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Mohit Bansal:
CAISE: Conversational Agent for Image Search and Editing. CoRR abs/2202.11847 (2022) - [i167]Jie Lei, Xinlei Chen, Ning Zhang, Mengjiao Wang, Mohit Bansal, Tamara L. Berg, Licheng Yu:
LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval. CoRR abs/2203.05465 (2022) - [i166]Archiki Prasad, Peter Hase, Xiang Zhou, Mohit Bansal:
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models. CoRR abs/2203.07281 (2022) - [i165]Jialu Li, Hao Tan, Mohit Bansal:
EnvEdit: Environment Editing for Vision-and-Language Navigation. CoRR abs/2203.15685 (2022) - [i164]Yan-Bo Lin, Jie Lei, Mohit Bansal, Gedas Bertasius:
ECLIPSE: Efficient Long-range Video Retrieval using Sight and Sound. CoRR abs/2204.02874 (2022) - [i163]Swarnadeep Saha, Prateek Yadav, Mohit Bansal:
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning. CoRR abs/2204.04813 (2022) - [i162]Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal:
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. CoRR abs/2204.06508 (2022) - [i161]Shiyue Zhang, Benjamin Frey, Mohit Bansal:
How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language. CoRR abs/2204.11909 (2022) - [i160]Shiyue Zhang, Vishrav Chaudhary, Naman Goyal, James Cross, Guillaume Wenzek, Mohit Bansal, Francisco Guzmán:
How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? CoRR abs/2204.14268 (2022) - [i159]