--- title: "Mehul Damani — author profile and papers — Elamur Research" description: "Mehul Damani, Massachusetts Institute of Technology: 3 papers on Elamur Research (2024–2026), h-index 6 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/mehul-damani/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mehul-damani/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mehul Damani # Mehul Damani Mehul Damani has 3 papers in our library, in 2024–2026, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Idan Shenfeld](https://md.research.elamur.ai/free/en/authors/idan-shenfeld/), [Jacob Andreas](https://md.research.elamur.ai/free/en/authors/jacob-andreas/), [Andi Peng](https://md.research.elamur.ai/free/en/authors/andi-peng/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5040083642) · [ORCID](https://orcid.org/0000-0001-5790-376X) · [Wikidata](https://www.wikidata.org/wiki/Q141203632) · [**h-index 6**](https://openalex.org/authors/A5040083642) · [23 works](https://openalex.org/works?filter=author.id:A5040083642) · [362 citations](https://openalex.org/works?filter=author.id:A5040083642&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/mehul-damani/#papers) · [🔗 Cited 140 times in our library](https://md.research.elamur.ai/free/en/authors/mehul-damani/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7965](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7965) 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=Mehul+Damani) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mehul+Damani) · [dblp](https://dblp.org/search?q=Mehul+Damani) · [ACL Anthology](https://aclanthology.org/search/?q=Mehul+Damani) ## Affiliations [🎓**Massachusetts Institute of Technology** Cambridge · United States 2023–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**National University of Singapore** Singapore · Singapore 2021–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 1 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/mehul-damani/year/2026/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/mehul-damani/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Self-Distillation Enables Continual Learning](https://md.research.elamur.ai/free/en/papers/shenfeld-2026-self-distillation-enables-continual-learning/)** *(2026 · 62 citations)* Foundation models usually stop learning after deployment. Fine-tuning them on new data with supervised fine-tuning (SFT) tends to erase earlier abilities, because SFT trains on a fixed external data distribution, which makes it off-policy. On-policy reinforcement learning forgets less, but it requires a reward… 2. **[The Surprising Effectiveness of Test-Time Training for Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/akyurek-2024-surprising-effectiveness-test-time-training/)** *(2024 · 36 citations)* Language models handle tasks similar to their training data well. However, on structurally novel problems they often fail, even when the prompt contains a few examples. The authors, from MIT, investigate test-time training (TTT). During inference, the model is temporarily fine-tuned through adapters, using data… 3. **[Learning How Hard to Think: Input-Adaptive Allocation of LM Computation](https://md.research.elamur.ai/free/en/papers/damani-2024-learning-hard-think-input-adaptive/)** *(2024 · 22 citations)* Costly decoding strategies such as best-of-k sampling with reranking, or calling a stronger model, improve LM outputs, but they are usually applied uniformly to every query. ## 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. [**Self-Distillation Enables Continual Learning arXiv:2601.19897**Idan Shenfeld, Mehul Damani, Jonas Hubotter, et al.*2026 · 62 citations*](https://md.research.elamur.ai/free/en/papers/shenfeld-2026-self-distillation-enables-continual-learning/) 2. [**The Surprising Effectiveness of Test-Time Training for Few-Shot Learning arXiv:2411.07279**Ekin Akyürek, Mehul Damani, Adam Zweiger, et al.*2024 · 36 citations*](https://md.research.elamur.ai/free/en/papers/akyurek-2024-surprising-effectiveness-test-time-training/) 3. **[Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty ↗](https://arxiv.org/abs/2507.16806) arXiv (Cornell University) · no summary yet**Mehul Damani et al.*2025 · 24 citations* 4. [**Learning How Hard to Think: Input-Adaptive Allocation of LM Computation arXiv:2410.04707**Mehul Damani, Idan Shenfeld, Andi Peng, et al.*2024 · 22 citations*](https://md.research.elamur.ai/free/en/papers/damani-2024-learning-hard-think-input-adaptive/) ## Co-authors here 8 co-authors with a page, the most papers together first. - [Idan Shenfeld](https://md.research.elamur.ai/free/en/authors/idan-shenfeld/) ×2 - [Jacob Andreas](https://md.research.elamur.ai/free/en/authors/jacob-andreas/) ×2 - [Andi Peng](https://md.research.elamur.ai/free/en/authors/andi-peng/) - [Ekin Akyürek](https://md.research.elamur.ai/free/en/authors/ekin-akyurek/) - [Han Guo](https://md.research.elamur.ai/free/en/authors/han-guo/) - [Jonas Hubotter](https://md.research.elamur.ai/free/en/authors/jonas-hubotter/) - [Linlu Qiu](https://md.research.elamur.ai/free/en/authors/linlu-qiu/) - [Yoon Kim](https://md.research.elamur.ai/free/en/authors/yoon-kim/) ## Cited by Papers of our library cite their works 140 times (of the 149,439 papers whose bibliographies we read); [41 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mehul-damani/cited-by/). Updated 3 November 2026