Iyyer, Mohit

Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries

Malaviya, C., Chang, J. C., Roth, D., Iyyer, M., Yatskar, M., & Lo, K. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 4

FABLES: Evaluating faithfulness and content selection in book-length summarization

Kim, Y., Chang, Y., Karpinska, M., Garimella, A., Manjunatha, V., Lo, K., Goyal, T., & Iyyer, M. (2024) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 4

EditLens: Quantifying the Extent of AI Editing in Text

Thai, K., Emi, B., Masrour, E., & Iyyer, M. (2025) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 3

LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization

Krishna, K., Bransom, E., Kuehl, B., Iyyer, M., Dasigi, P., Cohan, A., & Lo, K. (2023) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 3

OverThink: Slowdown Attacks on Reasoning LLMs

Kumar, A., Roh, J., Naseh, A., Karpinska, M., Iyyer, M., Houmansadr, A., & Bagdasarian, E. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0

Frankentext: Stitching random text fragments into long-form narratives

Pham, C. M., Russell, J., Pham, D., & Iyyer, M. (2025) · arXiv

Topic ModelingArtificial Intelligence in Games

Cited by 0

Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF

Sun, S., Gupta, D., & Iyyer, M. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

BEARCUBS: A benchmark for computer-using web agents

Song, Y., Thai, K., Pham, C. M., Chang, Y., Nadaf, M., & Iyyer, M. (2025) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 0

Suri: Multi-constraint Instruction Following for Long-form Text Generation

Pham, C. M., Sun, S., & Iyyer, M. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

POLARIS: Guiding Small Models to Write Long Stories

Rajendhran, R., Russell, J., Iyyer, M., & Wieting, J. F. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0