--- title: "Rachit Bansal · Harvard University — author profile and papers" description: "Rachit Bansal, Harvard University: 3 papers on Elamur Research (2022–2025), h-index 7 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/rachit-bansal/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rachit-bansal/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Rachit Bansal # Rachit Bansal Rachit Bansal has 3 papers in our library, in 2022–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Bhuwan Dhingra](https://md.research.elamur.ai/free/en/authors/bhuwan-dhingra/), [Danish Pruthi](https://md.research.elamur.ai/free/en/authors/danish-pruthi/), [David Brandfonbrener](https://md.research.elamur.ai/free/en/authors/david-brandfonbrener/). 3 papers in our library · 2022–2025 [OpenAlex](https://openalex.org/A5039871170) · [**h-index 7**](https://openalex.org/authors/A5039871170) · [21 works](https://openalex.org/works?filter=author.id:A5039871170) · [278 citations](https://openalex.org/works?filter=author.id:A5039871170&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/rachit-bansal/#papers) · [🔗 Cited 123 times in our library](https://md.research.elamur.ai/free/en/authors/rachit-bansal/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7243](https://md.research.elamur.ai/free/en/paper-stars/page/73/#star-7243) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Rachit+Bansal) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Rachit+Bansal) · [dblp](https://dblp.org/search?q=Rachit+Bansal) · [ACL Anthology](https://aclanthology.org/search/?q=Rachit+Bansal) ## Affiliations [🎓**Harvard University** Cambridge · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🎓**Delhi Technological University** New Delhi · India 2021–2022 · 12 papers](https://md.research.elamur.ai/free/en/universities/delhi-technological-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/rachit-bansal/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/rachit-bansal/year/2024/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/rachit-bansal/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students?](https://md.research.elamur.ai/free/en/papers/pruthi-2022-evaluating-explanations-how-much-do/)** *(2022 · 113 citations)* Feature-attribution methods that mark certain input tokens as important are widely used to explain NLP models. 2. **[LLM Augmented LLMs: Expanding Capabilities through Composition](https://md.research.elamur.ai/free/en/papers/bansal-2024-llm-augmented-llms-expanding-capabilities/)** *(2024 · 30 citations)* Large foundation models are expensive to extend with new skills, yet many specialized models already exist. 3. **[The Art of Scaling Reinforcement Learning Compute for LLMs](https://md.research.elamur.ai/free/en/papers/khatri-2025-art-scaling-reinforcement-learning-compute/)** *(2025 · 20 citations)* Reinforcement learning now consumes a large share of LLM training compute. Unlike pre-training, though, it has no dependable way to forecast how a training recipe will behave as budgets grow. The authors tackle this with a study totalling over 400,000 GPU-hours on Nvidia GB200 hardware. Most runs use an 8B dense… ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students?](https://md.research.elamur.ai/free/en/papers/pruthi-2022-evaluating-explanations-how-much-do/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, et al.*2022 · 113 citations* 2. **[Linear Connectivity Reveals Generalization Strategies ↗](https://arxiv.org/abs/2205.12411) arXiv (Cornell University) · no summary yet**Jeevesh Juneja et al.*2022 · 32 citations* 3. [**LLM Augmented LLMs: Expanding Capabilities through Composition arXiv:2401.02412**Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, et al.*2024 · 30 citations*](https://md.research.elamur.ai/free/en/papers/bansal-2024-llm-augmented-llms-expanding-capabilities/) 4. [**The Art of Scaling Reinforcement Learning Compute for LLMs arXiv:2510.13786**Devvrit Khatri, Lovish Madaan, Rishabh Tiwari, et al.*2025 · 20 citations*](https://md.research.elamur.ai/free/en/papers/khatri-2025-art-scaling-reinforcement-learning-compute/) ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Bhuwan Dhingra](https://md.research.elamur.ai/free/en/authors/bhuwan-dhingra/) - [Danish Pruthi](https://md.research.elamur.ai/free/en/authors/danish-pruthi/) - [David Brandfonbrener](https://md.research.elamur.ai/free/en/authors/david-brandfonbrener/) - [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/) - [Livio Baldini Soares](https://md.research.elamur.ai/free/en/authors/livio-baldini-soares/) - [Lovish Madaan](https://md.research.elamur.ai/free/en/authors/lovish-madaan/) - [Manzil Zaheer](https://md.research.elamur.ai/free/en/authors/manzil-zaheer/) - [Michael Collins](https://md.research.elamur.ai/free/en/authors/michael-collins/) - [Nitish Gupta](https://md.research.elamur.ai/free/en/authors/nitish-gupta/) - [Partha Talukdar](https://md.research.elamur.ai/free/en/authors/partha-talukdar/) - [Rishabh Agarwal](https://md.research.elamur.ai/free/en/authors/rishabh-agarwal/) - [Rishabh Tiwari](https://md.research.elamur.ai/free/en/authors/rishabh-tiwari/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2022](https://md.research.elamur.ai/free/en/venues/tacl/2022/) ## Cited by Papers of our library cite their works 123 times (of the 149,439 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/rachit-bansal/cited-by/). Updated 3 November 2026