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2020 – today
- 2021
[c127]Hyounghun Kim, Abhay Zala, Graham Burri, Mohit Bansal:
FIXMYPOSE: Pose Correctional Captioning and Retrieval. AAAI 2021: 13161-13170- [c126]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 - [c125]Ramakanth Pasunuru, David S. Rosenberg, Gideon Mann, Mohit Bansal:
Dual Reinforcement-Based Specification Generation for Image De-Rendering. SDU@AAAI 2021 - [c124]Jie Lei, Tamara L. Berg, Mohit Bansal:
mTVR: Multilingual Moment Retrieval in Videos. ACL/IJCNLP (2) 2021: 726-734 - [c123]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 - [c122]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 - [c121]Samip Dahal, Adyasha Maharana, Mohit Bansal:
Analysis of Tree-Structured Architectures for Code Generation. ACL/IJCNLP (Findings) 2021: 4382-4391 - [c120]Zineng Tang, Shiyue Zhang, Hyounghun Kim, Mohit Bansal:
Continuous Language Generative Flow. ACL/IJCNLP (1) 2021: 4609-4622 - [c119]Shiyue Zhang, Asli Celikyilmaz, Jianfeng Gao, Mohit Bansal:
EmailSum: Abstractive Email Thread Summarization. ACL/IJCNLP (1) 2021: 6895-6909 - [c118]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 - [c117]Lisa Bauer, Mohit Bansal:
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks. EACL 2021: 2259-2272 - [c116]Xiang Zhou, Heba Elfardy, Christos Christodoulopoulos, Thomas Butler, Mohit Bansal:
Hidden Biases in Unreliable News Detection Datasets. EACL 2021: 2482-2492 - [c115]Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal:
Unifying Vision-and-Language Tasks via Text Generation. ICML 2021: 1931-1942 - [c114]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 - [c113]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 - [c112]Jialu Li, Hao Tan, Mohit Bansal:
Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information. NAACL-HLT 2021: 1041-1050 - [c111]Zineng Tang, Jie Lei, Mohit Bansal:
DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization. NAACL-HLT 2021: 2415-2426 - [c110]Adyasha Maharana, Darryl Hannan, Mohit Bansal:
Improving Generation and Evaluation of Visual Stories via Semantic Consistency. NAACL-HLT 2021: 2427-2442 - [c109]Swarnadeep Saha, Prateek Yadav, Mohit Bansal:
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning. NAACL-HLT 2021: 3662-3677 - [c108]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 - [c107]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 - [c106]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 - [c105]Duccio Pappadopulo, Lisa Bauer, Marco Farina, Ozan Irsoy, Mohit Bansal:
Disentangling Online Chats with DAG-structured LSTMs. *SEM 2021: 152-159 - [i118]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) - [i117]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) - [i116]Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal:
Unifying Vision-and-Language Tasks via Text Generation. CoRR abs/2102.02779 (2021) - [i115]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) - [i114]Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao:
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. CoRR abs/2103.01863 (2021) - [i113]Ramakanth Pasunuru, David S. Rosenberg, Gideon Mann, Mohit Bansal:
Dual Reinforcement-Based Specification Generation for Image De-Rendering. CoRR abs/2103.01867 (2021) - [i112]Derek Tam, Rakesh R. Menon, Mohit Bansal, Shashank Srivastava, Colin Raffel:
Improving and Simplifying Pattern Exploiting Training. CoRR abs/2103.11955 (2021) - [i111]Hyounghun Kim, Abhay Zala, Graham Burri, Mohit Bansal:
FixMyPose: Pose Correctional Captioning and Retrieval. CoRR abs/2104.01703 (2021) - [i110]Swarnadeep Saha, Prateek Yadav, Lisa Bauer, Mohit Bansal:
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning. CoRR abs/2104.07644 (2021) - [i109]Xiang Zhou, Yixin Nie, Mohit Bansal:
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning. CoRR abs/2104.08676 (2021) - [i108]Jialu Li, Hao Tan, Mohit Bansal:
Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information. CoRR abs/2104.09580 (2021) - [i107]Xiang Zhou, Heba Elfardy, Christos Christodoulopoulos, Thomas Butler, Mohit Bansal:
Hidden Biases in Unreliable News Detection Datasets. CoRR abs/2104.10130 (2021) - [i106]Lisa Bauer, Mohit Bansal:
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks. CoRR abs/2104.10193 (2021) - [i105]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. CoRR abs/2104.14337 (2021) - [i104]Adyasha Maharana, Darryl Hannan, Mohit Bansal:
Improving Generation and Evaluation of Visual Stories via Semantic Consistency. CoRR abs/2105.10026 (2021) - [i103]Peter Hase, Harry Xie, Mohit Bansal:
Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals. CoRR abs/2106.00786 (2021) - [i102]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. CoRR abs/2106.01317 (2021) - [i101]Swarnadeep Saha, Prateek Yadav, Mohit Bansal:
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning. CoRR abs/2106.01354 (2021) - [i100]Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu:
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. CoRR abs/2106.04632 (2021) - [i99]Jiaao Chen, Derek Tam, Colin Raffel, Mohit Bansal, Diyi Yang:
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP. CoRR abs/2106.07499 (2021) - [i98]Duccio Pappadopulo, Lisa Bauer, Marco Farina, Ozan Irsoy, Mohit Bansal:
Disentangling Online Chats with DAG-Structured LSTMs. CoRR abs/2106.09024 (2021) - [i97]Hao Tan, Jie Lei, Thomas Wolf, Mohit Bansal:
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning. CoRR abs/2106.11250 (2021) - [i96]Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal:
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer. CoRR abs/2107.02681 (2021) - [i95]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? CoRR abs/2107.06383 (2021) - [i94]Jie Lei, Tamara L. Berg, Mohit Bansal:
QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries. CoRR abs/2107.09609 (2021) - [i93]Shiyue Zhang, Asli Celikyilmaz, Jianfeng Gao, Mohit Bansal:
EmailSum: Abstractive Email Thread Summarization. CoRR abs/2107.14691 (2021) - [i92]Shiyue Zhang, Benjamin Frey, Mohit Bansal:
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback. CoRR abs/2107.14800 (2021) - [i91]Jie Lei, Tamara L. Berg, Mohit Bansal:
MTVR: Multilingual Moment Retrieval in Videos. CoRR abs/2108.00061 (2021) - 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 - [i90]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. CoRR abs/2001.04362 (2020) - [i89]Tong Niu, Mohit Bansal:
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses. CoRR abs/2001.05467 (2020) - [i88]Hyounghun Kim, Hao Tan, Mohit Bansal:
Modality-Balanced Models for Visual Dialogue. CoRR abs/2001.06354 (2020) - [i87]Darryl Hannan, Akshay Jain, Mohit Bansal:
ManyModalQA: Modality Disambiguation and QA over Diverse Inputs. CoRR abs/2001.08034 (2020) - [i86]Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval. CoRR abs/2001.09099 (2020) - [i85]Adyasha Maharana, Mohit Bansal:
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension. CoRR abs/2004.06076 (2020) - [i84]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) - [i83]Peter Hase, Mohit Bansal:
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? CoRR abs/2005.01831 (2020) - [i82]Yubo Zhang, Hao Tan, Mohit Bansal:
Diagnosing the Environment Bias in Vision-and-Language Navigation. CoRR abs/2005.03086 (2020) - [i81]Xiang Zhou, Mohit Bansal:
Towards Robustifying NLI Models Against Lexical Dataset Biases. CoRR abs/2005.04732 (2020) - [i80]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) - [i79]Hyounghun Kim, Zineng Tang, Mohit Bansal:
Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA. CoRR abs/2005.06409 (2020) - [i78]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) - [i77]Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Evaluating Interactive Summarization: an Expansion-Based Framework. CoRR abs/2009.08380 (2020) - [i76]Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal:
PRover: Proof Generation for Interpretable Reasoning over Rules. CoRR abs/2010.02830 (2020) - [i75]Yixin Nie, Xiang Zhou, Mohit Bansal:
What Can We Learn from Collective Human Opinions on Natural Language Inference Data? CoRR abs/2010.03532 (2020) - [i74]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) - [i73]Shiyue Zhang, Benjamin Frey, Mohit Bansal:
ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization. CoRR abs/2010.04791 (2020) - [i72]Hao Tan, Mohit Bansal:
Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision. CoRR abs/2010.06775 (2020) - [i71]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) - [i70]Swarnadeep Saha, Yixin Nie, Mohit Bansal:
ConjNLI: Natural Language Inference Over Conjunctive Sentences. CoRR abs/2010.10418 (2020) - [i69]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) - [i68]Ramakanth Pasunuru, Han Guo, Mohit Bansal:
DORB: Dynamically Optimizing Multiple Rewards with Bandits. CoRR abs/2011.07635 (2020) - [i67]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) - [i66]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? CoRR abs/2012.13354 (2020) - [i65]Yixin Nie, Mary Williamson, Mohit Bansal, Douwe Kiela, Jason Weston:
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling. CoRR abs/2012.13391 (2020) - [i64]Han Guo, Nazneen Fatema Rajani, Peter Hase, Mohit Bansal, Caiming Xiong:
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. CoRR abs/2012.15781 (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]