NLPExplorer

Mohit Bansal

Number of Papers:- 196

Number of Citations:- 519

First ACL Paper:- 2008

Latest ACL Paper:- 2024

Venues:-

NAACL

CoNLL

BlackboxNLP

COLING

AMTA

SpLU

EMNLP

sdp

TextGraphs

Findings

LatentVar

RepEval

DeeLIO

LNLS

insights

Rep4NLP

TACL

FEVER

ACL

EACL

RepL4NLP

DLG4NLP

RoboNLP

IJCNLP

*SEM

Co-Authors:-

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Hierarchical and Dynamic Prompt Compression for Efficient Zero-shot API Usage F i n d i n g s - E A C L

Yichen Jiang | Marco Vecchio | Mohit Bansal | Anders Johannsen |

ADaPT: As-Needed Decomposition and Planning with Language Models F i n d i n g s - N A A C L

Prompting Vision-Language Models For Aspect-Controlled Generation of Referring Expressions F i n d i n g s - N A A C L

Unified Embeddings for Multimodal Retrieval via Frozen LLMs F i n d i n g s - E A C L

Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings ACL

Yichen Jiang | Xiang Zhou | Mohit Bansal |

ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization F i n d i n g s - A C L

REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset ACL

The Power of Summary-Source Alignments F i n d i n g s - A C L

Soft Self-Consistency Improves Language Models Agents ACL

Han Wang | Archiki Prasad | Elias Stengel-Eskin | Mohit Bansal |

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation NAACL

Evaluating Very Long-Term Conversational Memory of LLM Agents ACL

The Unreasonable Effectiveness of Easy Training Data for Hard Tasks ACL

Peter Hase | Mohit Bansal | Peter Clark | Sarah Wiegreffe |

ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs ACL

Justin Chen | Swarnadeep Saha | Mohit Bansal |

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences ACL

Findings of the Association for Computational Linguistics: EMNLP 2024 F i n d i n g s - E M N L P

Yaser Al-Onaizan | Mohit Bansal | Yun-Nung Chen |

LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints F i n d i n g s - E M N L P

Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM EMNLP

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing EMNLP

Yaser Al-Onaizan | Mohit Bansal | Yun-Nung Chen |

A Simple LLM Framework for Long-Range Video Question-Answering EMNLP

Knowledge-Aware Reasoning over Multimodal Semi-structured Tables F i n d i n g s - E M N L P

Social Commonsense for Explanation and Cultural Bias Discovery EACL

Lisa Bauer | Hanna Tischer | Mohit Bansal |

GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models EACL

Archiki Prasad | Peter Hase | Xiang Zhou | Mohit Bansal |

DeepMaven: Deep Question Answering on Long-Distance Movie/TV Show Videos with Multimedia Knowledge Extraction and Synthesis EACL

Faithfulness-Aware Decoding Strategies for Abstractive Summarization EACL

Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models EACL

Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction EACL

Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions? *SEM

An Empirical Study of Multimodal Model Merging F i n d i n g s - E M N L P

Generating Summaries with Controllable Readability Levels EMNLP

Leonardo F. R. Ribeiro | Mohit Bansal | Markus Dreyer |

An Empirical Survey of Data Augmentation for Limited Data Learning in NLP TACL

HistAlign: Improving Context Dependency in Language Generation by Aligning with History EMNLP

David Wan | Shiyue Zhang | Mohit Bansal |

ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness EMNLP

Archiki Prasad | Swarnadeep Saha | Xiang Zhou | Mohit Bansal |

Debiasing Multimodal Models via Causal Information Minimization F i n d i n g s - E M N L P

Vaidehi Patil | Adyasha Maharana | Mohit Bansal |

Data Factors for Better Compositional Generalization EMNLP

Xiang Zhou | Yichen Jiang | Mohit Bansal |

MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation F i n d i n g s - A C L

Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization ACL

Shiyue Zhang | David Wan | Mohit Bansal |

Non-Sequential Graph Script Induction via Multimedia Grounding ACL

Exclusive Supermask Subnetwork Training for Continual Learning F i n d i n g s - A C L

Prateek Yadav | Mohit Bansal |

Evaluating the Factual Consistency of Large Language Models Through News Summarization F i n d i n g s - A C L

Revealing Single Frame Bias for Video-and-Language Learning ACL

Jie Lei | Tamara Berg | Mohit Bansal |

Exploring Continual Learning for Code Generation Models ACL

MeetingQA: Extractive Question-Answering on Meeting Transcripts ACL

MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies ACL

How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language ACL

Shiyue Zhang | Ben Frey | Mohit Bansal |

When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data ACL LNLS

Peter Hase | Mohit Bansal |

Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning ACL Findings

Xiang Zhou | Yixin Nie | Mohit Bansal |

On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets ACL insights

Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning ACL

Swarnadeep Saha | Prateek Yadav | Mohit Bansal |

FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization NAACL

David Wan | Mohit Bansal |

Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging? NAACL

Xiang Zhou | Shiyue Zhang | Mohit Bansal |

Proposition-Level Clustering for Multi-Document Summarization NAACL

On Curriculum Learning for Commonsense Reasoning NAACL

Adyasha Maharana | Mohit Bansal |

SETSum: Summarization and Visualization of Student Evaluations of Teaching NAACL

RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios NAACL

FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations NAACL

Multimodal Intent Discovery from Livestream Videos Findings NAACL

Interactive Query-Assisted Summarization via Deep Reinforcement Learning NAACL

GraDA: Graph Generative Data Augmentation for Commonsense Reasoning DLG4NLP NAACL

Adyasha Maharana | Mohit Bansal |

Fine-grained Image Captioning with CLIP Reward Findings NAACL

CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations Findings NAACL

Jialu Li | Hao Tan | Mohit Bansal |

Efficient Few-Shot Fine-Tuning for Opinion Summarization Findings NAACL

Arthur Brazinskas | Ramesh Nallapati | Mohit Bansal | Markus Dreyer |

CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination NAACL

Hyounghun Kim | Abhay Zala | Mohit Bansal |

Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs NAACL

How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? AMTA

GRAVL-BERT: Graphical Visual-Linguistic Representations for Multimodal Coreference Resolution COLING

GraDA: Graph Generative Data Augmentation for Commonsense Reasoning COLING

Adyasha Maharana | Mohit Bansal |

Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations EMNLP

Swarnadeep Saha | Peter Hase | Nazneen Rajani | Mohit Bansal |

Evaluating and Improving Factuality in Multimodal Abstractive Summarization EMNLP

David Wan | Mohit Bansal |

ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments EMNLP

Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality EMNLP

Yichen Jiang | Xiang Zhou | Mohit Bansal |

Analyzing the Limits of Self-Supervision in Handling Bias in Language F i n d i n g s - E M N L P

Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks EACL

Lisa Bauer | Mohit Bansal |

Hidden Biases in Unreliable News Detection Datasets EACL

Robustness Gym: Unifying the NLP Evaluation Landscape NAACL

ERNIE-NLI: Analyzing the Impact of Domain-Specific External Knowledge on Enhanced Representations for NLI DeeLIO NAACL

Lisa Bauer | Lingjia Deng | Mohit Bansal |

Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information NAACL

Jialu Li | Hao Tan | Mohit Bansal |

Dynabench: Rethinking Benchmarking in NLP NAACL

Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension EMNLP Findings

Adyasha Maharana | Mohit Bansal |

Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? EMNLP Findings

Peter Hase | Shiyue Zhang | Harry Xie | Mohit Bansal |

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts NAACL

Mohit Bansal | Rebecca Passonneau |

Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts NAACL

Mohit Bansal | Alexander M. Rush |