--- title: "Andi Peng — author profile and papers — Elamur Research" description: "Andi Peng, MIT Computer Science and Artificial Intelligence Laboratory: 2 papers on Elamur Research (2024–2026), h-index 7 — affiliations…" canonical: "https://research.elamur.ai/free/en/authors/andi-peng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/andi-peng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Andi Peng # Andi Peng Andi Peng has 2 papers in our library, in 2024–2026; often with [Alex Gu](https://md.research.elamur.ai/free/en/authors/alex-gu/), [Alexis Ross](https://md.research.elamur.ai/free/en/authors/alexis-ross/), [Chenglei Si](https://md.research.elamur.ai/free/en/authors/chenglei-si/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5020921993) · [ORCID](https://orcid.org/0000-0001-8136-6175) · [Wikidata](https://www.wikidata.org/wiki/Q130808454) · [**h-index 7**](https://openalex.org/authors/A5020921993) · [22 works](https://openalex.org/works?filter=author.id:A5020921993) · [284 citations](https://openalex.org/works?filter=author.id:A5020921993&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/andi-peng/#papers) · [🔗 Cited 32 times in our library](https://md.research.elamur.ai/free/en/authors/andi-peng/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10504](https://md.research.elamur.ai/free/en/paper-stars/page/106/#star-10504) 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=Andi+Peng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Andi+Peng) · [dblp](https://dblp.org/search?q=Andi+Peng) · [ACL Anthology](https://aclanthology.org/search/?q=Andi+Peng) ## Affiliations [🎓**Massachusetts Institute of Technology** Cambridge · United States 2022–2026 · 11 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2023–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🏢**Microsoft** Redmond · United States 2019–2020 · 4 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/andi-peng/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/andi-peng/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[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. 2. **[Scaling Collaborative Effort with Agents](https://md.research.elamur.ai/free/en/papers/shen-2026-scaling-collaborative-effort-agents/)** *(2026 · 7 citations)* This position paper argues that LLM agents are mostly built and judged as one-shot task finishers. That suits poorly the many real tasks where user goals are vague and change as work proceeds. The authors present five case studies (data analysis, travel planning, financial advising, education, math discovery). In… ## All works 3 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. [**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/) 2. **[Scaling Collaborative Effort with Agents](https://md.research.elamur.ai/free/en/papers/shen-2026-scaling-collaborative-effort-agents/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shannon Zejiang Shen, Valerie Chen, Ken Gu, et al.*2026 · 7 citations* 3. **[Stress-Testing Model Specs Reveals Character Differences among Language Models ↗](https://arxiv.org/abs/2510.07686) arXiv (Cornell University) · no summary yet**Zhang, Jifan et al.*2025 · 4 citations* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Alex Gu](https://md.research.elamur.ai/free/en/authors/alex-gu/) - [Alexis Ross](https://md.research.elamur.ai/free/en/authors/alexis-ross/) - [Chenglei Si](https://md.research.elamur.ai/free/en/authors/chenglei-si/) - [Idan Shenfeld](https://md.research.elamur.ai/free/en/authors/idan-shenfeld/) - [Jacob Andreas](https://md.research.elamur.ai/free/en/authors/jacob-andreas/) - [Mehul Damani](https://md.research.elamur.ai/free/en/authors/mehul-damani/) - [Shannon Zejiang Shen](https://md.research.elamur.ai/free/en/authors/shannon-zejiang-shen/) - [Valerie Chen](https://md.research.elamur.ai/free/en/authors/valerie-chen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 32 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/andi-peng/cited-by/). Updated 3 November 2026