Sachan, Mrinmaya

Distilling Reasoning Capabilities into Smaller Language Models

Shridhar, K., Stolfo, A., & Sachan, M. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 79

Logical Fallacy Detection

Jin, Z., Lalwani, A., Vaidhya, T., Shen, X., Ding, Y., Lyu, Z., Sachan, M., Mihalcea, R., & Schölkopf, B. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Linguistics and Discourse AnalysisTopic Modeling

Cited by 52

Agents: An Open-source Framework for Autonomous Language Agents

Zhou, W., Jiang, Y. E., Li, L., Wu, J., Wang, T., Qiu, S., Zhang, J., Chen, J., Wu, R., Wang, S., et al. (2023) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 21

Calibrating Large Language Models with Sample Consistency

Lyu, Q., Shridhar, K., Malaviya, C., Zhang, L., Elazar, Y., Tandon, N., Apidianaki, M., Sachan, M., & Callison-Burch, C. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 21

CLadder: Assessing Causal Reasoning in Language Models

Jin, Z., Chen, Y., Leeb, F., Gresele, L., Kamal, O., Lyu, Z., Blin, K., Adauto, F. G., Kleiman-Weiner, M., Sachan, M., et al. (2023) · Advances in Neural Information Processing Systems 36

Logic, Reasoning, and KnowledgeBayesian Modeling and Causal Inference

Cited by 19

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models

Stolfo, A., Jin, Z., Shridhar, K., Schoelkopf, B., & Sachan, M. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesLogic, Reasoning, and Knowledge

Cited by 17

Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents

Piatti, G., Jin, Z., Kleiman-Weiner, M., Schölkopf, B., Sachan, M., & Mihalcea, R. (2024) · Advances in Neural Information Processing Systems 37

Evolutionary Game Theory and CooperationMulti-Agent Systems and Negotiation

Cited by 14

Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents

Piatti, G., Jin, Z., Kleiman-Weiner, M., Schölkopf, B., Sachan, M., & Mihalcea, R. (2024) · arXiv

Evolutionary Game Theory and CooperationMulti-Agent Systems and Negotiation

Cited by 14

Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure

Puech, R., Macina, J., Chatain, J., Sachan, M., & Kapur, M. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 11

RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text

Zhou, W., Jiang, Y. E., Cui, P., Wang, T., Xiao, Z., Hou, Y., Cotterell, R., & Sachan, M. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

CLadder: Assessing Causal Reasoning in Language Models

Jin, Z., Chen, Y., Leeb, F., Gresele, L., Kamal, O., Lyu, Z., Blin, K., Adauto, F. G., Kleiman-Weiner, M., Sachan, M., et al. (2023) · arXiv

Logic, Reasoning, and KnowledgeBayesian Modeling and Causal Inference

Cited by 8

Elastic Weight Removal for Faithful and Abstractive Dialogue Generation

Daheim, N., Dziri, N., Sachan, M., Gurevych, I., & Ponti, E. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Speech and dialogue systemsTopic Modeling

Cited by 7

Membership Inference Attacks against Language Models via Neighbourhood Comparison

Mattern, J., Mireshghallah, F., Jin, Z., Schölkopf, B., Sachan, M., & Berg-Kirkpatrick, T. (2023) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 4

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation

Akhtar, M., Reuel, A., Soni, P., Ahuja, S., Ammanamanchi, P. S., Rawal, R., Zouhar, V., Yadav, S., Whitehouse, C., Ki, D., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Confidence Regulation Neurons in Language Models

Stolfo, A., Wu, B., Gurnee, W., Belinkov, Y., Song, X., Sachan, M., & Nanda, N. (2024) · Advances in Neural Information Processing Systems 37

Neurobiology of Language and BilingualismTopic Modeling

Cited by 2

The ART of LLM Refinement: Ask, Refine, and Trust

Shridhar, K., Sinha, K., Cohen, A., Wang, T., Yu, P., Pasunuru, R., Sachan, M., Weston, J., & Celikyilmaz, A. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Elastic Weight Removal for Faithful and Abstractive Dialogue Generation

Daheim, N., Dziri, N., Sachan, M., Gurevych, I., & Ponti, E. M. (2023) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 0

Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games

Piedrahita, D. G., Yang, Y., Sachan, M., Ramponi, G., Schölkopf, B., & Jin, Z. (2025) · arXiv

Evolutionary Game Theory and CooperationExperimental Behavioral Economics Studies

Cited by 0