---
title: "Vidhisha Balachandran — author profile and papers"
description: "Vidhisha Balachandran, Microsoft: 4 papers on Elamur Research (2021–2024), h-index 10 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/vidhisha-balachandran/"
---
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# Vidhisha Balachandran

Vidhisha Balachandran has 4 papers in our library, in 2021–2024, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/); often with [Yulia Tsvetkov](https://md.research.elamur.ai/free/en/authors/yulia-tsvetkov/), [Akari Asai](https://md.research.elamur.ai/free/en/authors/akari-asai/), [Antonios Anastasopoulos](https://md.research.elamur.ai/free/en/authors/antonios-anastasopoulos/).

4 papers in our library · 2021–2024

[OpenAlex](https://openalex.org/A5012491878) · [ORCID](https://orcid.org/0009-0009-0465-0098) · [Wikidata](https://www.wikidata.org/wiki/Q130890073) · [**h-index 10**](https://openalex.org/authors/A5012491878) · [71 works](https://openalex.org/works?filter=author.id:A5012491878) · [540 citations](https://openalex.org/works?filter=author.id:A5012491878&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/vidhisha-balachandran/#papers) · [🔗 593 citations in our library](https://md.research.elamur.ai/free/en/authors/vidhisha-balachandran/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Star rank #2851](https://md.research.elamur.ai/free/en/paper-stars/page/29/#star-2851)

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=Vidhisha+Balachandran) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Vidhisha+Balachandran) · [dblp](https://dblp.org/search?q=Vidhisha+Balachandran) · [ACL Anthology](https://aclanthology.org/search/?q=Vidhisha+Balachandran)

## Affiliations

[🏢**Microsoft** Redmond · United States 2024–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2018–2024 · 36 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**University of Washington** Seattle · United States 2023–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 10[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/)

🧭 Topics 4[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/vidhisha-balachandran/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/kumar-2023-language-generation-models-can-cause/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/papers/pagnoni-2021-understanding-factuality-abstractive-summarization-frank/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics](https://md.research.elamur.ai/free/en/papers/pagnoni-2021-understanding-factuality-abstractive-summarization-frank/)** *(2021 · 418 citations)* Neural abstractive summarizers write fluent text that often misstates facts from the source. Existing factuality metrics could not be compared because there was no shared benchmark, and they all reduce factuality to a yes/no label for a whole summary.
2. **[Fine-grained Hallucination Detection and Editing for Language Models](https://md.research.elamur.ai/free/en/papers/mishra-2024-fine-grained-hallucination-detection-editing/)** *(2024 · 96 citations)* Language models frequently state false facts. Most existing checkers give only a yes/no verdict for an entire response, so every error is treated the same way. The authors argue that factual mistakes come in distinct kinds, each requiring a different amount of verification effort, and they organize these kinds into a…
3. **[Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey](https://md.research.elamur.ai/free/en/papers/kumar-2023-language-generation-models-can-cause/)** *(2023 · 87 citations)* Much has been written about the dangers of large text generators, but practical ways to counter them were scattered across separate research communities.
4. **[MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning](https://md.research.elamur.ai/free/en/papers/li-2024-mediq-question-asking-llms-benchmark/)** *(2024 · 70 citations)* Most medical QA benchmarks give the model the whole case at once. Real consultations are different: patients often leave out details, and a clinician has to ask follow-up questions before deciding. The authors argue that LLMs are tuned to answer no matter what, which makes them unreliable when the context is…

## All works

10 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. **[Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics](https://md.research.elamur.ai/free/en/papers/pagnoni-2021-understanding-factuality-abstractive-summarization-frank/)**Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov*[Conference of the North American Chapter of the…](https://md.research.elamur.ai/free/en/venues/naacl/) · 418 citations*
2. [**Fine-grained Hallucination Detection and Editing for Language Models**Abhika Mishra, Akari Asai, Vidhisha Balachandran, et al.*arXiv:2401.06855 · 96 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2024-fine-grained-hallucination-detection-editing/)
3. **[Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey](https://md.research.elamur.ai/free/en/papers/kumar-2023-language-generation-models-can-cause/)**Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.*[Conference of the European Chapter of the…](https://md.research.elamur.ai/free/en/venues/eacl/) · 87 citations*
4. **[MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning](https://md.research.elamur.ai/free/en/papers/li-2024-mediq-question-asking-llms-benchmark/)**Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, et al.*[Conference on Neural Information Processing…](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) · 70 citations*
5. **[Phi-4-reasoning Technical Report](https://arxiv.org/abs/2504.21318) (original ↗)**Marah Abdin et al.*2025 · arXiv:2504.21318 · 63 citations · no summary yet*
6. **[The Art of Saying No: Contextual Noncompliance in Language Models](https://arxiv.org/abs/2407.12043) (original ↗)**Faeze Brahman et al.*2024 · arXiv:2407.12043 · 50 citations · no summary yet*
7. **[Resolving Knowledge Conflicts in Large Language Models](https://arxiv.org/abs/2310.00935) (original ↗)**Yike Wang et al.*2023 · arXiv:2310.00935 · 47 citations · no summary yet*
8. **[Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models](https://arxiv.org/abs/2305.09955) (original ↗)**Shangbin Feng et al.*2023 · arXiv:2305.09955 · 32 citations · no summary yet*
9. **[Eureka: Evaluating and Understanding Large Foundation Models](https://arxiv.org/abs/2409.10566) (original ↗)**Vidhisha Balachandran et al.*2024 · arXiv:2409.10566 · 7 citations · no summary yet*
10. **[Reasoning Up the Instruction Ladder for Controllable Language Models](https://aclanthology.org/2026.findings-acl.1960/) (original ↗)**Zishuo Zheng et al.*2026 · Findings of the Association for Computational… · 1 citation · no summary yet*

## Co-authors here

9 co-authors with a page, the most papers together first.

- [Yulia Tsvetkov](https://md.research.elamur.ai/free/en/authors/yulia-tsvetkov/) ×4
- [Akari Asai](https://md.research.elamur.ai/free/en/authors/akari-asai/)
- [Antonios Anastasopoulos](https://md.research.elamur.ai/free/en/authors/antonios-anastasopoulos/)
- [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/)
- [Hannaneh Hajishirzi](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/)
- [Pang Wei Koh](https://md.research.elamur.ai/free/en/authors/pang-wei-koh/)
- [Sachin Kumar](https://md.research.elamur.ai/free/en/authors/sachin-kumar/)
- [Shangbin Feng](https://md.research.elamur.ai/free/en/authors/shangbin-feng/)
- [Yizhong Wang](https://md.research.elamur.ai/free/en/authors/yizhong-wang/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference of the European Chapter of the Association for…](https://md.research.elamur.ai/free/en/venues/eacl/): [2023](https://md.research.elamur.ai/free/en/venues/eacl/2023/)
- [Conference of the North American Chapter of the Association…](https://md.research.elamur.ai/free/en/venues/naacl/): [2021](https://md.research.elamur.ai/free/en/venues/naacl/2021/)
- [Conference on Neural Information Processing Systems…](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)
- Findings of the Association for Computational Linguistics…

## Cited by

Papers of our library cite their works 593 times (of the 141,840 papers whose bibliographies we read); [46 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/vidhisha-balachandran/cited-by/).

Updated 24 October 2026