---
title: "Mohit Bansal — papers of 2023 — 7 papers, the most cited first"
description: "Mohit Bansal — papers of 2023: 7 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Mohit Bansal — papers of 2023 — 7 papers, the most cited first

7 papers · [all years of Mohit Bansal](https://md.research.elamur.ai/free/en/authors/mohit-bansal/#years)

**[TIES-Merging: Resolving Interference When Merging Models](https://md.research.elamur.ai/free/en/papers/yadav-2023-ties-merging-resolving-interference-merging/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Prateek Yadav, Derek Tam, Leshem Choshen, et al.*2023 · 324 citations*

**[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiaao Chen, Derek Tam, Colin Raffel, et al.*2023 · 254 citations*

**[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/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Archiki Prasad, Peter Hase, Xiang Zhou, et al.*2023 · 184 citations*

- [Analyzing and Mitigating Object Hallucination in Large Vision-Language Models arXiv:2310.00754](https://md.research.elamur.ai/free/en/papers/zhou-2023-analyzing-mitigating-object-hallucination-large/) — Yiyang Zhou, Chenhang Cui, Jaehong Yoon, et al. · 2023 · 134 citations

**[ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness](https://md.research.elamur.ai/free/en/papers/prasad-2023-receval-evaluating-reasoning-chains-correctness/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Archiki Prasad, Swarnadeep Saha, Xiang Zhou, et al.*2023 · 73 citations*

- [Branch-Solve-Merge Improves Large Language Model Evaluation and Generation arXiv:2310.15123](https://md.research.elamur.ai/free/en/papers/saha-2023-branch-solve-merge-improves-large/) — Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, et al. · 2023 · 68 citations

**[Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models](https://md.research.elamur.ai/free/en/papers/hase-2023-methods-measuring-updating-visualizing-factual/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Peter Hase, Mona Diab, Asli Celikyilmaz, et al.*2023 · 51 citations*