--- title: "Mohit Bansal — papers" description: "Mohit Bansal: 20 papers in the Elamur Research library (2012–2024) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/mohit-bansal/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mohit-bansal/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mohit Bansal # Mohit Bansal 20 papers on this site (2012–2024) [OpenAlex](https://openalex.org/A5001987532) · [ORCID](https://orcid.org/0000-0001-5522-1351) · h-index 66 · 459 works · 20036 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs](https://md.research.elamur.ai/free/en/papers/chen-2024-reconcile-round-table-conference-improves/) — Justin Chen, Swarnadeep Saha, Mohit Bansal · 2024 - [An Empirical Survey of Data Augmentation for Limited Data Learning in NLP](https://md.research.elamur.ai/free/en/papers/chen-2023-empirical-survey-data-augmentation-limited/) — Jiaao Chen, Derek Tam, Colin Raffel, et al. · 2023 - [GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models](https://md.research.elamur.ai/free/en/papers/prasad-2023-grips-gradient-free-edit-based/) — Archiki Prasad, Peter Hase, Xiang Zhou, et al. · 2023 - [TIES-Merging: Resolving Interference When Merging Models](https://md.research.elamur.ai/free/en/papers/yadav-2023-ties-merging-resolving-interference-merging/) — Prateek Yadav, Derek Tam, Leshem Choshen, et al. · 2023 - [Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning](https://md.research.elamur.ai/free/en/papers/liu-2022-few-shot-parameter-efficient-fine/) — Haokun Liu, Derek Tam, Mohammed Muqeeth, et al. · 2022 - [GRAVL-BERT: Graphical Visual-Linguistic Representations for Multimodal Coreference Resolution](https://md.research.elamur.ai/free/en/papers/guo-2022-gravl-bert-graphical-visual-linguistic/) — Danfeng Guo, Arpit Gupta, Sanchit Agarwal, et al. · 2022 - [HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification](https://md.research.elamur.ai/free/en/papers/jiang-2020-hover-dataset-many-hop-fact/) — Yichen Jiang, Shikha Bordia, Zheng Zhong, et al. · 2020 - [What Can We Learn from Collective Human Opinions on Natural Language Inference Data?](https://md.research.elamur.ai/free/en/papers/nie-2020-what-can-we-learn-collective/) — Yixin Nie, Xiang Zhou, Mohit Bansal · 2020 - [LXMERT: Learning Cross-Modality Encoder Representations from Transformers](https://md.research.elamur.ai/free/en/papers/tan-2019-lxmert-learning-cross-modality-encoder/) — Hao Tan, Mohit Bansal · 2019 - [Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting](https://md.research.elamur.ai/free/en/papers/chen-2018-fast-abstractive-summarization-reinforce-selected/) — Yen-Chun Chen, Mohit Bansal · 2018 - [Multi-Reward Reinforced Summarization with Saliency and Entailment](https://md.research.elamur.ai/free/en/papers/pasunuru-2018-multi-reward-reinforced-summarization-saliency/) — Ramakanth Pasunuru, Mohit Bansal · 2018 - [TVQA: Localized, Compositional Video Question Answering](https://md.research.elamur.ai/free/en/papers/lei-2018-tvqa-localized-compositional-video-question/) — Jie Lei, Licheng Yu, Mohit Bansal, et al. · 2018 - [End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures](https://md.research.elamur.ai/free/en/papers/miwa-2016-end-end-relation-extraction-lstms/) — Makoto Miwa, Mohit Bansal · 2016 - [Interpreting Neural Networks to Improve Politeness Comprehension](https://md.research.elamur.ai/free/en/papers/aubakirova-2016-interpreting-neural-networks-improve-politeness/) — Malika Aubakirova, Mohit Bansal · 2016 - [The Role of Context Types and Dimensionality in Learning Word Embeddings](https://md.research.elamur.ai/free/en/papers/melamud-2016-role-context-types-dimensionality-learning/) — Oren Melamud, David McClosky, Siddharth Patwardhan, et al. · 2016 - [What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment](https://md.research.elamur.ai/free/en/papers/mei-2016-what-talk-about-how-selective/) — Hongyuan Mei, Mohit Bansal, Matthew R. Walter · 2016 - [From Paraphrase Database to Compositional Paraphrase Model and Back](https://md.research.elamur.ai/free/en/papers/wieting-2015-paraphrase-database-compositional-paraphrase-model/) — John Wieting, Mohit Bansal, Kevin Gimpel, et al. · 2015 - [Towards Universal Paraphrastic Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/wieting-2015-towards-universal-paraphrastic-sentence-embeddings/) — John Wieting, Mohit Bansal, Kevin Gimpel, et al. · 2015 - [Tailoring Continuous Word Representations for Dependency Parsing](https://md.research.elamur.ai/free/en/papers/bansal-2014-tailoring-continuous-word-representations-dependency/) — Mohit Bansal, Kevin Gimpel, Karen Livescu · 2014 - [Coreference Semantics from Web Features](https://md.research.elamur.ai/free/en/papers/bansal-2012-coreference-semantics-web-features/) — Mohit Bansal, Dan Klein · 2012