--- title: "Khyathi Chandu — author profile and papers — Elamur Research" description: "Khyathi Chandu: 2 papers on Elamur Research (2023–2024), h-index 15 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/khyathi-chandu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/khyathi-chandu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Khyathi Chandu # Khyathi Chandu Khyathi Chandu has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Abhilasha Ravichander](https://md.research.elamur.ai/free/en/authors/abhilasha-ravichander/), [Bill Yuchen Lin](https://md.research.elamur.ai/free/en/authors/bill-yuchen-lin/), [Nouha Dziri](https://md.research.elamur.ai/free/en/authors/nouha-dziri/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5007169600) · [**h-index 15**](https://openalex.org/authors/A5007169600) · [71 works](https://openalex.org/works?filter=author.id:A5007169600) · [817 citations](https://openalex.org/works?filter=author.id:A5007169600&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/khyathi-chandu/#papers) · [🔗 Cited 452 times in our library](https://md.research.elamur.ai/free/en/authors/khyathi-chandu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4503](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4503) 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=Khyathi+Chandu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Khyathi+Chandu) · [dblp](https://dblp.org/search?q=Khyathi+Chandu) · [ACL Anthology](https://aclanthology.org/search/?q=Khyathi+Chandu) ## Affiliations [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2022–2025 · 20 papers](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2017–2024 · 19 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**University of Washington** Seattle · United States 2023–2025 · 12 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Yale University** New Haven · United States 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/yale-university/) · [🎓**University of California, Berkeley** Berkeley · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🏢**Meta** Menlo Park · United States 2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/meta/) · [🎓**University of Southern California** Los Angeles · United States 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🎓**International Institute of Information Technology, Hyderabad** Hyderabad · India 2017–2018 · 2 papers](https://md.research.elamur.ai/free/en/universities/international-institute-of-information-technology-hyderabad/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper Khyathi Chandu's papers of 2024](https://md.research.elamur.ai/free/en/papers/lin-2024-wildbench-benchmarking-llms-challenging-tasks/) · [**2023** 1 paper Khyathi Chandu's papers of 2023](https://md.research.elamur.ai/free/en/papers/lin-2023-unlocking-spell-base-llms-rethinking/) ## Papers The most cited first (OpenAlex and our library). 1. **[The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning](https://md.research.elamur.ai/free/en/papers/lin-2023-unlocking-spell-base-llms-rethinking/)** *(2023 · 139 citations)* Alignment tuning through SFT and RLHF is usually seen as the step that turns a pretrained base LLM into a usable assistant. 2. **[WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild](https://md.research.elamur.ai/free/en/papers/lin-2024-wildbench-benchmarking-llms-challenging-tasks/)** *(2024 · 95 citations)* Existing automatic LLM benchmarks poorly reflect what real users actually ask. MT-bench is tiny, AlpacaEval is dominated by easy information-seeking prompts, and ArenaHard leans heavily toward coding. WildBench addresses this by drawing hard, naturally distributed tasks from WildChat, a log of roughly one million… ## All works 4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. [**The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning arXiv:2312.01552**Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/lin-2023-unlocking-spell-base-llms-rethinking/) 2. [**WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild arXiv:2406.04770**Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu, et al.*2024 · 95 citations*](https://md.research.elamur.ai/free/en/papers/lin-2024-wildbench-benchmarking-llms-challenging-tasks/) 3. **[The Generative AI Paradox: "What It Can Create, It May Not Understand" ↗](https://arxiv.org/abs/2311.00059) arXiv:2311.00059 · no summary yet**Peter West et al.*2023 · 59 citations* 4. **[Agent Lumos: Unified and Modular Training for Open-Source Language Agents ↗](https://arxiv.org/abs/2311.05657) arXiv:2311.05657 · no summary yet**Da Yin et al.*2023 · 47 citations* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Abhilasha Ravichander](https://md.research.elamur.ai/free/en/authors/abhilasha-ravichander/) ×2 - [Bill Yuchen Lin](https://md.research.elamur.ai/free/en/authors/bill-yuchen-lin/) ×2 - [Nouha Dziri](https://md.research.elamur.ai/free/en/authors/nouha-dziri/) ×2 - [Yejin Choi](https://md.research.elamur.ai/free/en/authors/yejin-choi/) ×2 - [Chandra Bhagavatula](https://md.research.elamur.ai/free/en/authors/chandra-bhagavatula/) - [Faeze Brahman](https://md.research.elamur.ai/free/en/authors/faeze-brahman/) - [Melanie Sclar](https://md.research.elamur.ai/free/en/authors/melanie-sclar/) - [Ronan Le Bras](https://md.research.elamur.ai/free/en/authors/ronan-le-bras/) - [Valentina Pyatkin](https://md.research.elamur.ai/free/en/authors/valentina-pyatkin/) - [Ximing Lu](https://md.research.elamur.ai/free/en/authors/ximing-lu/) - [Yuntian Deng](https://md.research.elamur.ai/free/en/authors/yuntian-deng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) ## Cited by Papers of our library cite their works 452 times (of the 141,840 papers whose bibliographies we read); [35 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/khyathi-chandu/cited-by/). Updated 24 October 2026