--- title: "Manasi Patwardhan — author profile and papers in our library" description: "Manasi Patwardhan, Tata Consultancy Services: 7 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/manasi-patwardhan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/manasi-patwardhan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Manasi Patwardhan # Manasi Patwardhan Manasi Patwardhan has 7 papers in our library, in 2025–2026, 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/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/), [Yilun Zhao](https://md.research.elamur.ai/free/en/authors/yilun-zhao/), [Lovekesh Vig](https://md.research.elamur.ai/free/en/authors/lovekesh-vig/). 7 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139739208) · [**h-index 1**](https://openalex.org/authors/A5139739208) · [4 works](https://openalex.org/works?filter=author.id:A5139739208) · [1 citations](https://openalex.org/works?filter=author.id:A5139739208&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/manasi-patwardhan/#papers) · [🔗 Cited 17 times in our library](https://md.research.elamur.ai/free/en/authors/manasi-patwardhan/cited-by/) · [⭐ Paper Stars ranking: #9651](https://md.research.elamur.ai/free/en/paper-stars/page/97/#star-9651) 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=Manasi+Patwardhan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Manasi+Patwardhan) · [dblp](https://dblp.org/search?q=Manasi+Patwardhan) · [ACL Anthology](https://aclanthology.org/search/?q=Manasi+Patwardhan) ## Affiliations [🏢**Tata Consultancy Services** Pune · India 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/tata-consultancy-services/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 12 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [History and Philosophy of Science · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Information Systems · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Statistics, Probability and Uncertainty · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/statistics-probability-and-uncertainty/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 3 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/manasi-patwardhan/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/manasi-patwardhan/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers](https://md.research.elamur.ai/free/en/papers/xu-2025-can-llms-identify-critical-limitations/)** *(2025 · 11 citations)* Peer review is increasingly strained as publication volume grows. Existing benchmarks for LLM-generated reviews mostly judge overall review quality and pay little attention to whether models can find a paper's real weaknesses. This work isolates that skill. The authors first build a taxonomy of limitation types for… 2. **[AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research](https://md.research.elamur.ai/free/en/papers/zhao-2025-abgen-evaluating-large-language-models/)** *(2025 · 9 citations)* AbGen tests whether large language models can help scientists plan experiments, focusing on ablation study design. 3. **[SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific Literature](https://md.research.elamur.ai/free/en/papers/ding-2026-scirag-adaptive-citation-aware-outline/)** *(2026 · 7 citations)* Scientific output keeps growing quickly, and existing retrieval-augmented generation (RAG) tools for literature QA have four main weaknesses. 4. **[RbtAct: Rebuttal as Supervision for Actionable Review Feedback Generation](https://md.research.elamur.ai/free/en/papers/wu-2026-rbtact-rebuttal-as-supervision-actionable/)** *(2026 · 2 citations)* LLM-drafted peer reviews often sound fluent but stay generic, so authors get little guidance they can actually implement. 5. **[Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future](https://md.research.elamur.ai/free/en/papers/wu-2026-can-ai-be-good-peer/)** *(2026 · 1 citation)* This survey asks how far large language models can support or automate scholarly peer review. It treats review as a full pipeline (reviewing, rebuttal, meta-review, decision, and revision) rather than a single text-generation step. The authors build a taxonomy across three areas: 6. **[Routing End User Queries to Enterprise Databases](https://md.research.elamur.ai/free/en/papers/sudarshan-2026-routing-end-user-queries-enterprise/)** *(2026)* The paper studies database routing: given a natural-language question and a large set of enterprise databases, rank the databases by how likely each one can answer it. 7. **[Teaching Language Models to Forecast Research Success Through Comparative Idea Evaluation](https://md.research.elamur.ai/free/en/papers/mule-2026-teaching-language-models-forecast-research/)** *(2026)* AI research agents can produce hundreds of candidate ideas, but testing each one experimentally is impractical. ## Co-authors here 12 co-authors with a page, the most papers together first. - [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/) ×5 - [Yilun Zhao](https://md.research.elamur.ai/free/en/authors/yilun-zhao/) ×5 - [Lovekesh Vig](https://md.research.elamur.ai/free/en/authors/lovekesh-vig/) ×3 - [Tiansheng Hu](https://md.research.elamur.ai/free/en/authors/tiansheng-hu/) ×3 - [Owen Jiang](https://md.research.elamur.ai/free/en/authors/owen-jiang/) ×2 - [Sihong Wu](https://md.research.elamur.ai/free/en/authors/sihong-wu/) ×2 - [Yiling Ma](https://md.research.elamur.ai/free/en/authors/yiling-ma/) ×2 - [Zhijian Xu](https://md.research.elamur.ai/free/en/authors/zhijian-xu/) ×2 - [Chengye Wang](https://md.research.elamur.ai/free/en/authors/chengye-wang/) - [Hang Ding](https://md.research.elamur.ai/free/en/authors/hang-ding/) - [Kaiyan Zhang](https://md.research.elamur.ai/free/en/authors/kaiyan-zhang/) - [Yixin Liu](https://md.research.elamur.ai/free/en/authors/yixin-liu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/): [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era 2026](https://md.research.elamur.ai/free/en/venues/surgellm/2026/) ## Cited by Papers of our library cite their works 17 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/manasi-patwardhan/cited-by/). Updated 1 November 2026