Anirudh Goyal

Brigham and Women's Hospital — United States

Computer Science · Physical Sciences

25h-index4.2kcitations166works2.22yr avg
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Research Topics

Reinforcement Learning in Robotics(25), Domain Adaptation and Few-Shot Learning(24), Neural Networks and Applications(19), Generative Adversarial Networks and Image Synthesis(13), Adversarial Robustness in Machine Learning(12)

Publications163 total

On the Impossibility of Retrain Equivalence in Machine Unlearning
arXiv (Cornell University)·2025Open Access
HypoSpace: Evaluating LLM Creativity as Set-Valued Hypothesis Generators under Underdetermination
arXiv (Cornell University)·2025Open Access
Rethinking Thinking Tokens: LLMs as Improvement Operators
arXiv (Cornell University)·2025Open Access
Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
arXiv (Cornell University)·2025Open Access
Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
arXiv (Cornell University)·2025Open Access
RSV Vaccine Effectiveness Against Hospitalization Among US Adults Aged 60 Years or Older During 2 Seasons
JAMA·2025· 8 citedOpen Access
ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context
arXiv (Cornell University)·2025Open Access
A pilot study of Janus kinase 1 (JAK1) inhibitor itacitinib for treatment-refractory sarcomas: Leiomyosarcoma cohort.
Journal of Clinical Oncology·2025
Epithelioid Hemangioendothelioma: Treatment Landscape and Innovations for an Ultra-Rare Sarcoma
Current Treatment Options in Oncology·2025· 1 cited
Unnatural Languages Are Not Bugs but Features for LLMs
arXiv (Cornell University)·2025Open Access
Interim Estimates of 2024–2025 COVID-19 Vaccine Effectiveness Among Adults Aged ≥18 Years — VISION and IVY Networks, September 2024–January 2025
MMWR Morbidity and Mortality Weekly Report·2025· 54 citedOpen Access
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
arXiv (Cornell University)·2025Open Access
A Systematic Examination of Preference Learning through the Lens of Instruction-Following
2025Open Access
Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning
arXiv (Cornell University)·2024Open Access
A Systematic Examination of Preference Learning through the Lens of Instruction-Following
arXiv (Cornell University)·2024Open Access
Benefit of Early Oseltamivir Therapy for Adults Hospitalized With Influenza A: An Observational Study
Clinical Infectious Diseases·2024· 6 citedOpen Access
Reasoning Robustness of LLMs to Adversarial Typographical Errors
arXiv (Cornell University)·2024Open Access
$α$-TCVAE: On the relationship between Disentanglement and Diversity
arXiv (Cornell University)·2024Open Access
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement
arXiv (Cornell University)·2024Open Access
Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Yoshua Bengio(39), Nan Rosemary Ke(16), Bernhard Schölkopf(10), Stefan Bauer(9), Alex Lamb(9), Michael C. Mozer(9), Hugo Larochelle(7), Jonathan Binas(7), Chris Pal(6), Olexa Bilaniuk(6), Sergey Levine(6), Francesco Locatello(5), Frederik Träuble(5), Samarth Sinha(5), Aaron Courville(4), Augustus Odena(4), Nasim Rahaman(3), Elliot Creager(3), Niki Kilbertus(3), Manuel Wüthrich(3)