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2020 – today
- 2020
[c104]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. AAAI 2020: 7830-7838- [c103]Darryl Hannan, Akshay Jain, Mohit Bansal:
ManyModalQA: Modality Disambiguation and QA over Diverse Inputs. AAAI 2020: 7879-7886 - [c102]Hyounghun Kim, Hao Tan, Mohit Bansal:
Modality-Balanced Models for Visual Dialogue. AAAI 2020: 8091-8098 - [c101]Tong Niu, Mohit Bansal:
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses. AAAI 2020: 8560-8567 - [c100]Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal:
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning. ACL 2020: 2603-2614 - [c99]Hyounghun Kim, Zineng Tang, Mohit Bansal:
Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA. ACL 2020: 4812-4822 - [c98]Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, Douwe Kiela:
Adversarial NLI: A New Benchmark for Natural Language Understanding. ACL 2020: 4885-4901 - [c97]Peter Hase, Mohit Bansal:
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? ACL 2020: 5540-5552 - [c96]Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
TVQA+: Spatio-Temporal Grounding for Video Question Answering. ACL 2020: 8211-8225 - [c95]Xiang Zhou, Mohit Bansal:
Towards Robustifying NLI Models Against Lexical Dataset Biases. ACL 2020: 8759-8771 - [c94]Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval. ECCV (21) 2020: 447-463 - [c93]Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal:
PRover: Proof Generation for Interpretable Reasoning over Rules. EMNLP (1) 2020: 122-136 - [c92]Shiyue Zhang, Benjamin Frey, Mohit Bansal:
ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization. EMNLP (1) 2020: 577-595 - [c91]Hao Tan, Mohit Bansal:
Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision. EMNLP (1) 2020: 2066-2080 - [c90]Ramakanth Pasunuru, Mohit Bansal:
FENAS: Flexible and Expressive Neural Architecture Search. EMNLP (Findings) 2020: 2869-2876 - [c89]Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Kumar Singh, Mohit Bansal:
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification. EMNLP (Findings) 2020: 3441-3460 - [c88]Adyasha Maharana, Mohit Bansal:
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension. EMNLP (Findings) 2020: 3723-3738 - [c87]Hyounghun Kim, Abhaysinh Zala, Graham Burri, Hao Tan, Mohit Bansal:
ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments. EMNLP (Findings) 2020: 3910-3927 - [c86]Peter Hase, Shiyue Zhang, Harry Xie, Mohit Bansal:
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? EMNLP (Findings) 2020: 4351-4367 - [c85]Ramakanth Pasunuru, Han Guo, Mohit Bansal:
DORB: Dynamically Optimizing Multiple Rewards with Bandits. EMNLP (1) 2020: 7766-7780 - [c84]Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal:
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions. EMNLP (1) 2020: 8215-8228 - [c83]Swarnadeep Saha, Yixin Nie, Mohit Bansal:
ConjNLI: Natural Language Inference Over Conjunctive Sentences. EMNLP (1) 2020: 8240-8252 - [c82]Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
What is More Likely to Happen Next? Video-and-Language Future Event Prediction. EMNLP (1) 2020: 8769-8784 - [c81]Yixin Nie, Xiang Zhou, Mohit Bansal:
What Can We Learn from Collective Human Opinions on Natural Language Inference Data? EMNLP (1) 2020: 9131-9143 - [c80]Haonan Chen, Hao Tan, Alan Kuntz, Mohit Bansal, Ron Alterovitz:
Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning. ICRA 2020: 1963-1969 - [c79]Yubo Zhang, Hao Tan, Mohit Bansal:
Diagnosing the Environment Bias in Vision-and-Language Navigation. IJCAI 2020: 890-897 - [i87]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. CoRR abs/2001.04362 (2020) - [i86]Tong Niu, Mohit Bansal:
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses. CoRR abs/2001.05467 (2020) - [i85]Hyounghun Kim, Hao Tan, Mohit Bansal:
Modality-Balanced Models for Visual Dialogue. CoRR abs/2001.06354 (2020) - [i84]Darryl Hannan, Akshay Jain, Mohit Bansal:
ManyModalQA: Modality Disambiguation and QA over Diverse Inputs. CoRR abs/2001.08034 (2020) - [i83]Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval. CoRR abs/2001.09099 (2020) - [i82]Adyasha Maharana, Mohit Bansal:
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension. CoRR abs/2004.06076 (2020) - [i81]Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal:
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions. CoRR abs/2004.13606 (2020) - [i80]Peter Hase, Mohit Bansal:
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? CoRR abs/2005.01831 (2020) - [i79]Yubo Zhang, Hao Tan, Mohit Bansal:
Diagnosing the Environment Bias in Vision-and-Language Navigation. CoRR abs/2005.03086 (2020) - [i78]Xiang Zhou, Mohit Bansal:
Towards Robustifying NLI Models Against Lexical Dataset Biases. CoRR abs/2005.04732 (2020) - [i77]Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal:
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning. CoRR abs/2005.05402 (2020) - [i76]Hyounghun Kim, Zineng Tang, Mohit Bansal:
Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA. CoRR abs/2005.06409 (2020) - [i75]Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan:
SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks. CoRR abs/2009.00590 (2020) - [i74]Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Evaluating Interactive Summarization: an Expansion-Based Framework. CoRR abs/2009.08380 (2020) - [i73]Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal:
PRover: Proof Generation for Interpretable Reasoning over Rules. CoRR abs/2010.02830 (2020) - [i72]Yixin Nie, Xiang Zhou, Mohit Bansal:
What Can We Learn from Collective Human Opinions on Natural Language Inference Data? CoRR abs/2010.03532 (2020) - [i71]Peter Hase, Shiyue Zhang, Harry Xie, Mohit Bansal:
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? CoRR abs/2010.04119 (2020) - [i70]Shiyue Zhang, Benjamin Frey, Mohit Bansal:
ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization. CoRR abs/2010.04791 (2020) - [i69]Hao Tan, Mohit Bansal:
Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision. CoRR abs/2010.06775 (2020) - [i68]Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
What is More Likely to Happen Next? Video-and-Language Future Event Prediction. CoRR abs/2010.07999 (2020) - [i67]Swarnadeep Saha, Yixin Nie, Mohit Bansal:
ConjNLI: Natural Language Inference Over Conjunctive Sentences. CoRR abs/2010.10418 (2020) - [i66]Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Singh, Mohit Bansal:
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification. CoRR abs/2011.03088 (2020) - [i65]Ramakanth Pasunuru, Han Guo, Mohit Bansal:
DORB: Dynamically Optimizing Multiple Rewards with Bandits. CoRR abs/2011.07635 (2020) - [i64]Hyounghun Kim, Abhay Zala, Graham Burri, Hao Tan, Mohit Bansal:
ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments. CoRR abs/2011.07660 (2020)
2010 – 2019
- 2019
- [c78]Yixin Nie, Haonan Chen, Mohit Bansal:
Combining Fact Extraction and Verification with Neural Semantic Matching Networks. AAAI 2019: 6859-6866 - [c77]Yixin Nie, Yicheng Wang, Mohit Bansal:
Analyzing Compositionality-Sensitivity of NLI Models. AAAI 2019: 6867-6874 - [c76]Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal:
Expressing Visual Relationships via Language. ACL (1) 2019: 1873-1883 - [c75]Ramakanth Pasunuru, Mohit Bansal:
Continual and Multi-Task Architecture Search. ACL (1) 2019: 1911-1922 - [c74]Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan:
PaperRobot: Incremental Draft Generation of Scientific Ideas. ACL (1) 2019: 1980-1991 - [c73]Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal:
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension. ACL (1) 2019: 2714-2725 - [c72]Yichen Jiang, Mohit Bansal:
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA. ACL (1) 2019: 2726-2736 - [c71]Hyounghun Kim, Mohit Bansal:
Improving Visual Question Answering by Referring to Generated Paragraph Captions. ACL (1) 2019: 3606-3612 - [c70]Mohit Bansal, Tanmay Gadgil, Rishi Shah, Parag Verma:
Medical Visual Question Answering at Image CLEF 2019- VQA Med. CLEF (Working Notes) 2019 - [c69]Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra:
Multi-Target Embodied Question Answering. CVPR 2019: 6309-6318 - [c68]Tong Niu, Mohit Bansal:
Automatically Learning Data Augmentation Policies for Dialogue Tasks. EMNLP/IJCNLP (1) 2019: 1317-1323 - [c67]Shiyue Zhang, Mohit Bansal:
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering. EMNLP/IJCNLP (1) 2019: 2495-2509 - [c66]Yixin Nie, Songhe Wang, Mohit Bansal:
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale. EMNLP/IJCNLP (1) 2019: 2553-2566 - [c65]Yichen Jiang, Mohit Bansal:
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning. EMNLP/IJCNLP (1) 2019: 4473-4483 - [c64]Hao Tan, Mohit Bansal:
LXMERT: Learning Cross-Modality Encoder Representations from Transformers. EMNLP/IJCNLP (1) 2019: 5099-5110 - [c63]Jae Sung Park, Biao Jia, Mohit Bansal, Dinesh Manocha:
Efficient Generation of Motion Plans from Attribute-Based Natural Language Instructions Using Dynamic Constraint Mapping. ICRA 2019: 6964-6971 - [c62]Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. NAACL-HLT (1) 2019: 682-687 - [c61]Hao Tan, Licheng Yu, Mohit Bansal:
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout. NAACL-HLT (1) 2019: 2610-2621 - [c60]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. NAACL-HLT (1) 2019: 3520-3531 - [e4]Mohit Bansal, Aline Villavicencio:
Proceedings of the 23rd Conference on Computational Natural Language Learning, CoNLL 2019, Hong Kong, China, November 3-4, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-72-7 [contents] - [i63]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. CoRR abs/1904.04153 (2019) - [i62]Hao Tan, Licheng Yu, Mohit Bansal:
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout. CoRR abs/1904.04195 (2019) - [i61]Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra:
Multi-Target Embodied Question Answering. CoRR abs/1904.04686 (2019) - [i60]Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. CoRR abs/1904.05929 (2019) - [i59]Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
TVQA+: Spatio-Temporal Grounding for Video Question Answering. CoRR abs/1904.11574 (2019) - [i58]Haonan Chen, Hao Tan, Alan Kuntz, Mohit Bansal, Ron Alterovitz:
Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning. CoRR abs/1904.12907 (2019) - [i57]Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan:
PaperRobot: Incremental Draft Generation of Scientific Ideas. CoRR abs/1905.07870 (2019) - [i56]Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal:
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension. CoRR abs/1906.05210 (2019) - [i55]Ramakanth Pasunuru, Mohit Bansal:
Continual and Multi-Task Architecture Search. CoRR abs/1906.05226 (2019) - [i54]Hyounghun Kim, Mohit Bansal:
Improving Visual Question Answering by Referring to Generated Paragraph Captions. CoRR abs/1906.06216 (2019) - [i53]Yichen Jiang, Mohit Bansal:
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA. CoRR abs/1906.07132 (2019) - [i52]Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal:
Expressing Visual Relationships via Language. CoRR abs/1906.07689 (2019) - [i51]Hao Tan, Mohit Bansal:
LXMERT: Learning Cross-Modality Encoder Representations from Transformers. CoRR abs/1908.07490 (2019) - [i50]Yichen Jiang, Mohit Bansal:
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning. CoRR abs/1909.05803 (2019) - [i49]Shiyue Zhang, Mohit Bansal:
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering. CoRR abs/1909.06356 (2019) - [i48]Yixin Nie, Songhe Wang, Mohit Bansal:
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale. CoRR abs/1909.08041 (2019) - [i47]Tong Niu, Mohit Bansal:
Automatically Learning Data Augmentation Policies for Dialogue Tasks. CoRR abs/1909.12868 (2019) - [i46]Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, Douwe Kiela:
Adversarial NLI: A New Benchmark for Natural Language Understanding. CoRR abs/1910.14599 (2019) - 2018
- [j6]Tong Niu, Mohit Bansal:
Polite Dialogue Generation Without Parallel Data. Trans. Assoc. Comput. Linguistics 6: 373-389 (2018) - [c59]Hao Tan, Mohit Bansal:
Source-Target Inference Models for Spatial Instruction Understanding. AAAI 2018: 5504-5511 - [c58]Yen-Chun Chen, Mohit Bansal:
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. ACL (1) 2018: 675-686 - [c57]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. ACL (1) 2018: 687-697 - [c56]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification. COLING 2018: 462-476 - [c55]Tong Niu, Mohit Bansal:
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models. CoNLL 2018: 486-496 - [c54]Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg:
MAttNet: Modular Attention Network for Referring Expression Comprehension. CVPR 2018: 1307-1315 - [c53]Ramakanth Pasunuru, Mohit Bansal:
Game-Based Video-Context Dialogue. EMNLP 2018: 125-136 - [c52]Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg:
TVQA: Localized, Compositional Video Question Answering. EMNLP 2018: 1369-1379 - [c51]Sweta Karlekar, Mohit Bansal:
SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories. EMNLP 2018: 2805-2811 - [c50]Spencer Whitehead, Heng Ji, Mohit Bansal, Shih-Fu Chang, Clare R. Voss:
Incorporating Background Knowledge into Video Description Generation. EMNLP 2018: 3992-4001 - [c49]Yichen Jiang, Mohit Bansal:
Closed-Book Training to Improve Summarization Encoder Memory. EMNLP 2018: 4067-4077 - [c48]Lisa Bauer, Yicheng Wang, Mohit Bansal:
Commonsense for Generative Multi-Hop Question Answering Tasks. EMNLP 2018: 4220-4230 - [c47]Trang Tran, Shubham Toshniwal, Mohit Bansal, Kevin Gimpel, Karen Livescu, Mari Ostendorf:
Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information. NAACL-HLT 2018: 69-81 - [c46]Hao Tan, Mohit Bansal:
Object Ordering with Bidirectional Matchings for Visual Reasoning. NAACL-HLT (2) 2018: 444-451 - [c45]Yicheng Wang, Mohit Bansal:
Robust Machine Comprehension Models via Adversarial Training. NAACL-HLT (2) 2018: 575-581 - [c44]Ramakanth Pasunuru, Mohit Bansal:
Multi-Reward Reinforced Summarization with Saliency and Entailment. NAACL-HLT (2) 2018: 646-653 - [c43]Sweta Karlekar, Tong Niu, Mohit Bansal:
Detecting Linguistic Characteristics of Alzheimer's Dementia by Interpreting Neural Models. NAACL-HLT (2) 2018: 701-707 - [c42]Arjun Chandrasekaran, Devi Parikh, Mohit Bansal:
Punny Captions: Witty Wordplay in Image Descriptions. NAACL-HLT (2) 2018: 770-775 - [c41]Ke Wang, Mohit Bansal, Jan-Michael Frahm:
Retweet Wars: Tweet Popularity Prediction via Dynamic Multimodal Regression. WACV 2018: 1842-1851 - [e3]Mohit Bansal, Rebecca J. Passonneau:
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 1, 2018, Tutorial Abstracts. Association for Computational Linguistics 2018, ISBN 978-1-948087-31-5 [contents] - [i45]Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg:
MAttNet: Modular Attention Network for Referring Expression Comprehension. CoRR abs/1801.08186 (2018) - [i44]Sweta Karlekar, Tong Niu, Mohit Bansal:
Detecting Linguistic Characteristics of Alzheimer's Dementia by Interpreting Neural Models. CoRR abs/1804.06440 (2018) - [i43]Ramakanth Pasunuru, Mohit Bansal:
Multi-Reward Reinforced Summarization with Saliency and Entailment. CoRR abs/1804.06451 (2018) - [i42]Yicheng Wang, Mohit Bansal:
Robust Machine Comprehension Models via Adversarial Training. CoRR abs/1804.06473 (2018) - [i41]Hao Tan, Mohit Bansal:
Object Ordering with Bidirectional Matchings for Visual Reasoning. CoRR abs/1804.06870 (2018) - [i40]Tong Niu, Mohit Bansal:
Polite Dialogue Generation Without Parallel Data. CoRR abs/1805.03162 (2018) - [i39]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. CoRR abs/1805.11004 (2018) - [i38]Yen-Chun Chen, Mohit Bansal:
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. CoRR abs/1805.11080 (2018) - [i37]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification. CoRR abs/1806.07304 (2018) - [i36]Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg:
TVQA: Localized, Compositional Video Question Answering. CoRR abs/1809.01696 (2018) - [i35]Tong Niu, Mohit Bansal:
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models. CoRR abs/1809.02079 (2018) - [i34]Ramakanth Pasunuru, Mohit Bansal:
Game-Based Video-Context Dialogue. CoRR abs/1809.04560 (2018) - [i33]Yichen Jiang, Mohit Bansal:
Closed-Book Training to Improve Summarization Encoder Memory. CoRR abs/1809.04585 (2018) - [i32]Sweta Karlekar, Mohit Bansal:
SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories. CoRR abs/1809.04739 (2018) - [i31]Lisa Bauer, Yicheng Wang, Mohit Bansal:
Commonsense for Generative Multi-Hop Question Answering Tasks. CoRR abs/1809.06309 (2018) - [i30]Yixin Nie, Yicheng Wang, Mohit Bansal:
Analyzing Compositionality-Sensitivity of NLI Models. CoRR abs/1811.07033 (2018) - [i29]Yixin Nie, Haonan Chen, Mohit Bansal:
Combining Fact Extraction and Verification with Neural Semantic Matching Networks. CoRR abs/1811.07039 (2018) - 2017
- [c40]Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay P. Namboodiri, Mohit Bansal:
Contextual RNN-GANs for Abstract Reasoning Diagram Generation. AAAI 2017: 1382-1388 - [c39]Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
Coherent Dialogue with Attention-Based Language Models. AAAI 2017: 3252-3258 - [c38]Ramakanth Pasunuru, Mohit Bansal:
Multi-Task Video Captioning with Video and Entailment Generation. ACL (1) 2017: 1273-1283 - [c37]Licheng Yu, Hao Tan, Mohit Bansal, Tamara L. Berg:
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions. CVPR 2017: 3521-3529