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Aditya Gupta

Aditya Gupta has 3 papers in our library, in 2022–2026, most of them on Language models & pretraining; often with Abhinav Rastogi, Abubakar Abid, Adam Fisch.

3 papers in our library · 2022–2026

OpenAlex · ORCID · h-index 4 · 15 works · 106 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 1,298 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #1613

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022 · 1,756 citations)
    Language models gain both measurable and qualitatively new skills as they grow, yet those skills were poorly mapped.
  2. How FaR Are Large Language Models From Agents with Theory-of-Mind? (2023 · 40 citations)
    Theory-of-Mind (ToM) benchmarks for large language models, such as ToMi, usually ask directly about a character's beliefs.
  3. XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants (2026 · 2 citations)
    AI coding assistants quietly pull code from the surrounding project into the LLM prompt. They mix snippets from collaborators and dependencies without marking where each one came from. The authors show that this creates an attack surface, which they name Cross-Origin Context Poisoning (XOXO). A malicious contributor…

All works

6 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. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
  2. TIMEDIAL: Temporal Commonsense Reasoning in Dialog ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetLianhui Qin et al.2021 · 85 citations
  3. Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetAditya Gupta et al.2021 · 42 citations
  4. How FaR Are Large Language Models From Agents with Theory-of-Mind?arXiv:2310.03051Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, et al.2023 · 40 citations
  5. Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions? ↗Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023) · no summary yetXiang Zhou et al.2023 · 2 citations

 Co-authors here

12 of 18 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 1,298 times (of the 149,439 papers whose bibliographies we read); 303 citing papers with a page here →.

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