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2020 – today
- 2023
[i170]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)- 2022
- [j7]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) - [c173]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 - [c172]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 - [c171]Hao Tan, Chen-Tse Tsai, Yujie He, Mohit Bansal:
Scientific Chart Summarization: Datasets and Improved Text Modeling. SDU@AAAI 2022 - [c170]Xiang Zhou, Yixin Nie, Mohit Bansal:
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning. ACL (Findings) 2022: 972-987 - [c169]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 - [c168]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 - [c167]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 - [c166]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 - [c165]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 - [c164]Adyasha Maharana, Mohit Bansal:
GraDA: Graph Generative Data Augmentation for Commonsense Reasoning. COLING 2022: 4499-4516 - [c163]Yi-Lin Sung, Jaemin Cho, Mohit Bansal:
VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks. CVPR 2022: 5217-5227 - [c162]Jialu Li, Hao Tan, Mohit Bansal:
Envedit: Environment Editing for Vision-and-Language Navigation. CVPR 2022: 15386-15396 - [c161]Adyasha Maharana, Darryl Hannan, Mohit Bansal:
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation. ECCV (37) 2022: 70-87 - [c160]Yan-Bo Lin, Jie Lei, Mohit Bansal, Gedas Bertasius:
EclipSE: Efficient Long-Range Video Retrieval Using Sight and Sound. ECCV (34) 2022: 413-430 - [c159]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 - [c158]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 - [c157]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 - [c156]Jialu Li, Hao Tan, Mohit Bansal:
CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations. NAACL-HLT (Findings) 2022: 633-649 - [c155]Hyounghun Kim, Abhay Zala, Mohit Bansal:
CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination. NAACL-HLT 2022: 911-923 - [c154]Adyasha Maharana, Mohit Bansal:
On Curriculum Learning for Commonsense Reasoning. NAACL-HLT 2022: 983-992 - [c153]David Wan, Mohit Bansal:
FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization. NAACL-HLT 2022: 1010-1028 - [c152]Xiang Zhou, Shiyue Zhang, Mohit Bansal:
Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging? NAACL-HLT 2022: 1099-1114 - [c151]Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer:
Efficient Few-Shot Fine-Tuning for Opinion Summarization. NAACL-HLT (Findings) 2022: 1509-1523 - [c150]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 - [c149]Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Ido Dagan, Yael Amsterdamer:
Interactive Query-Assisted Summarization via Deep Reinforcement Learning. NAACL-HLT 2022: 2551-2568 - [c148]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 - [c147]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 - [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]Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer:
Efficient Few-Shot Fine-Tuning for Opinion Summarization. CoRR abs/2205.02170 (2022) - [i158]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. CoRR abs/2205.05638 (2022) - [i157]David Wan, Mohit Bansal:
FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization. CoRR abs/2205.07830 (2022) - [i156]Hyounghun Kim, Aishwarya Padmakumar, Di Jin, Mohit Bansal, Dilek Hakkani-Tur:
On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets. CoRR abs/2205.09249 (2022) - [i155]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. CoRR abs/2205.10747 (2022) - [i154]Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, Franck Dernoncourt, Trung Bui, Mohit Bansal:
Fine-grained Image Captioning with CLIP Reward. CoRR abs/2205.13115 (2022) - [i153]Jie Lei, Tamara L. Berg, Mohit Bansal:
Revealing Single Frame Bias for Video-and-Language Learning. CoRR abs/2206.03428 (2022) - [i152]Yi-Lin Sung, Jaemin Cho, Mohit Bansal:
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning. CoRR abs/2206.06522 (2022) - [i151]Sha Li, Mahdi Namazifar, Di Jin, Mohit Bansal, Heng Ji, Yang Liu, Dilek Hakkani-Tur:
Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphs. CoRR abs/2206.07296 (2022) - [i150]Zhuofan Ying, Peter Hase, Mohit Bansal:
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives. CoRR abs/2206.11212 (2022) - [i149]Xiang Zhou, Shiyue Zhang, Mohit Bansal:
Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging? CoRR abs/2206.14969 (2022) - [i148]Jialu Li, Hao Tan, Mohit Bansal:
CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations. CoRR abs/2207.02185 (2022) - [i147]Yinuo Hu, Shiyue Zhang, Viji Sathy, A. T. Panter, Mohit Bansal:
SETSum: Summarization and Visualization of Student Evaluations of Teaching. CoRR abs/2207.03640 (2022) - [i146]Hyounghun Kim, Abhay Zala, Mohit Bansal:
CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination. CoRR abs/2207.03961 (2022) - [i145]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. CoRR abs/2207.12576 (2022) - [i144]Shiyue Zhang, David Wan, Mohit Bansal:
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization. CoRR abs/2209.03549 (2022) - [i143]Adyasha Maharana, Darryl Hannan, Mohit Bansal:
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation. CoRR abs/2209.06192 (2022) - [i142]Swarnadeep Saha, Shiyue Zhang, Peter Hase, Mohit Bansal:
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees. CoRR abs/2209.10492 (2022) - [i141]Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal:
TVLT: Textless Vision-Language Transformer. CoRR abs/2209.14156 (2022) - [i140]Prateek Yadav, Mohit Bansal:
Exclusive Supermask Subnetwork Training for Continual Learning. CoRR abs/2210.10209 (2022) - [i139]David Wan, Mohit Bansal:
Evaluating and Improving Factuality in Multimodal Abstractive Summarization. CoRR abs/2211.02580 (2022) - [i138]Swarnadeep Saha, Peter Hase, Nazneen Rajani, Mohit Bansal:
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations. CoRR abs/2211.07517 (2022) - [i137]Derek Tam, Anisha Mascarenhas, Shiyue Zhang, Sarah Kwan, Mohit Bansal, Colin Raffel:
Evaluating the Factual Consistency of Large Language Models Through Summarization. CoRR abs/2211.08412 (2022) - [i136]Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal:
Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention. CoRR abs/2211.11701 (2022) - [i135]Yichen Jiang, Xiang Zhou, Mohit Bansal:
Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality. CoRR abs/2211.15578 (2022) - [i134]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. CoRR abs/2212.02623 (2022) - [i133]Feng Cheng, Xizi Wang, Jie Lei, David J. Crandall, Mohit Bansal, Gedas Bertasius:
VindLU: A Recipe for Effective Video-and-Language Pretraining. CoRR abs/2212.05051 (2022) - [i132]Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius:
Vision Transformers are Parameter-Efficient Audio-Visual Learners. CoRR abs/2212.07983 (2022) - [i131]Swarnadeep Saha, Xinyan Velocity Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz:
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. CoRR abs/2212.08607 (2022) - 2021
- [c146]Hyounghun Kim, Abhay Zala, Graham Burri, Mohit Bansal:
FIXMYPOSE: Pose Correctional Captioning and Retrieval. AAAI 2021: 13161-13170 - [c145]Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao:
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. AAAI 2021: 13666-13674 - [c144]Ramakanth Pasunuru, David S. Rosenberg, Gideon Mann, Mohit Bansal:
Dual Reinforcement-Based Specification Generation for Image De-Rendering. SDU@AAAI 2021 - [c143]Shiyue Zhang, Benjamin Frey, Mohit Bansal:
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback. ACL (demo) 2021: 272-279 - [c142]Jie Lei, Tamara L. Berg, Mohit Bansal:
mTVR: Multilingual Moment Retrieval in Videos. ACL/IJCNLP (2) 2021: 726-734 - [c141]Yi Fung, Christopher Thomas, Revanth Gangi Reddy, Sandeep Polisetty, Heng Ji, Shih-Fu Chang, Kathleen R. McKeown, Mohit Bansal, Avi Sil:
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection. ACL/IJCNLP (1) 2021: 1683-1698 - [c140]Yixin Nie, Mary Williamson, Mohit Bansal, Douwe Kiela, Jason Weston:
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling. ACL/IJCNLP (1) 2021: 1699-1713 - [c139]Samip Dahal, Adyasha Maharana, Mohit Bansal:
Analysis of Tree-Structured Architectures for Code Generation. ACL/IJCNLP (Findings) 2021: 4382-4391 - [c138]Zineng Tang, Shiyue Zhang, Hyounghun Kim, Mohit Bansal:
Continuous Language Generative Flow. ACL/IJCNLP (1) 2021: 4609-4622 - [c137]Shiyue Zhang, Asli Celikyilmaz, Jianfeng Gao, Mohit Bansal:
EmailSum: Abstractive Email Thread Summarization. ACL/IJCNLP (1) 2021: 6895-6909 - [c136]Lisa Bauer, Lingjia Deng, Mohit Bansal:
ERNIE-NLI: Analyzing the Impact of Domain-Specific External Knowledge on Enhanced Representations for NLI. DeeLIO@NAACL-HLT 2021: 58-69 - [c135]Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams:
To what extent do human explanations of model behavior align with actual model behavior? BlackboxNLP@EMNLP 2021: 1-14 - [c134]Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan:
Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline. CoNLL 2021: 310-322 - [c133]Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu:
Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling. CVPR 2021: 7331-7341 - [c132]Lisa Bauer, Mohit Bansal:
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks. EACL 2021: 2259-2272 - [c131]Xiang Zhou, Heba Elfardy, Christos Christodoulopoulos, Thomas Butler, Mohit Bansal:
Hidden Biases in Unreliable News Detection Datasets. EACL 2021: 2482-2492 - [c130]Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan:
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. EMNLP (Demos) 2021: 283-297 - [c129]Yichen Jiang, Mohit Bansal:
Learning and Analyzing Generation Order for Undirected Sequence Models. EMNLP (Findings) 2021: 3513-3523 - [c128]Derek Tam, Rakesh R. Menon, Mohit Bansal, Shashank Srivastava, Colin Raffel:
Improving and Simplifying Pattern Exploiting Training. EMNLP (1) 2021: 4980-4991 - [c127]Ramakanth Pasunuru, Veselin Stoyanov, Mohit Bansal:
Continual Few-Shot Learning for Text Classification. EMNLP (1) 2021: 5688-5702 - [c126]Yichen Jiang, Mohit Bansal:
Inducing Transformer's Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks. EMNLP (1) 2021: 6253-6265 - [c125]Hyounghun Kim, Jialu Li, Mohit Bansal:
NDH-Full: Learning and Evaluating Navigational Agents on Full-Length Dialogue. EMNLP (1) 2021: 6432-6442 - [c124]Shiyue Zhang, Mohit Bansal:
Finding a Balanced Degree of Automation for Summary Evaluation. EMNLP (1) 2021: 6617-6632 - [c123]Adyasha Maharana, Mohit Bansal:
Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization. EMNLP (1) 2021: 6772-6786 - [c122]Swarnadeep Saha, Prateek Yadav, Lisa Bauer, Mohit Bansal:
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning. EMNLP (1) 2021: 7716-7740 - [c121]Han Guo, Nazneen Rajani, Peter Hase, Mohit Bansal, Caiming Xiong:
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. EMNLP (1) 2021: 10333-10350 - [c120]Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal:
Unifying Vision-and-Language Tasks via Text Generation. ICML 2021: 1931-1942 - [c119]Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Zachary Taschdjian, Mohit Bansal, Christopher Ré:
Robustness Gym: Unifying the NLP Evaluation Landscape. NAACL-HLT (Demonstrations) 2021: 42-55 - [c118]Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Extending Multi-Document Summarization Evaluation to the Interactive Setting. NAACL-HLT 2021: 657-677 - [c117]Jialu Li, Hao Tan, Mohit Bansal:
Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information. NAACL-HLT 2021: 1041-1050 - [c116]Zineng Tang, Jie Lei, Mohit Bansal:
DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization. NAACL-HLT 2021: 2415-2426 - [c115]Adyasha Maharana, Darryl Hannan, Mohit Bansal:
Improving Generation and Evaluation of Visual Stories via Semantic Consistency. NAACL-HLT 2021: 2427-2442 - [c114]Swarnadeep Saha, Prateek Yadav, Mohit Bansal:
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning. NAACL-HLT 2021: 3662-3677 - [c113]Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams:
Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT 2021: 4110-4124 - [c112]Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer:
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. NAACL-HLT 2021: 4768-4779 - [c111]Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao:
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. NAACL-HLT 2021: 4780-4793 - [c110]Peter Hase, Harry Xie, Mohit Bansal:
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations. NeurIPS 2021: 3650-3666 - [c109]Jie Lei, Tamara L. Berg, Mohit Bansal:
Detecting Moments and Highlights in Videos via Natural Language Queries. NeurIPS 2021: 11846-11858 - [c108]Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Wang, William Yang Wang, Tamara L. Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu:
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. NeurIPS Datasets and Benchmarks 2021 - [c107]Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal:
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer. NeurIPS 2021: 24468-24481 - [c106]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation. RepL4NLP@ACL-IJCNLP 2021: 289-306 - [c105]Duccio Pappadopulo, Lisa Bauer, Marco Farina, Ozan Irsoy, Mohit Bansal:
Disentangling Online Chats with DAG-structured LSTMs. *SEM 2021: 152-159 - [i130]Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré:
Robustness Gym: Unifying the NLP Evaluation Landscape. CoRR abs/2101.04840 (2021) - [i129]Peter Hase, Mohit Bansal:
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data. CoRR abs/2102.02201 (2021) - [i128]Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal:
Unifying Vision-and-Language Tasks via Text Generation. CoRR abs/2102.02779 (2021) - [i127]Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu:
Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling. CoRR abs/2102.06183 (2021)