Weston, Jason

Contextual Position Encoding: Learning to Count What's Important

Golovneva, O., Wang, T., Weston, J., & Sukhbaatar, S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

Diverse Preference Optimization

Lanchantin, J., Chen, A., Dhuliawala, S., Yu, P., Weston, J., Sukhbaatar, S., & Kulikov, I. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Distilling System 2 into System 1

Yu, P., Xu, J., Weston, J., & Kulikov, I. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Self-Challenging Language Model Agents

Zhou, Y., Levine, S., Weston, J., Li, X., & Sukhbaatar, S. (2025) · Advances in Neural Information Processing Systems 38

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 1

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Saha, S., Levy, O., Celikyilmaz, A., Bansal, M., Weston, J., & Li, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Self-Challenging Language Model Agents

Zhou, Y., Levine, S., Weston, J., Li, X., & Sukhbaatar, S. (2025) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 1

Reason first, then respond: Modular Generation for Knowledge-infused Dialogue

Adolphs, L., Shuster, K., Urbanek, J., Szlam, A., & Weston, J. (2021) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 1

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

Leveraging Implicit Feedback from Deployment Data in Dialogue

Pang, R. Y., Roller, S., Cho, K., He, H., & Weston, J. (2023) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 1

Scaling Agent Learning via Experience Synthesis

Chen, Z., Zhao, Z., Zhang, K., Liu, B., Qi, Q., Wu, Y., Kalluri, T., Cao, S., Xiong, Y., Tong, H., et al. (2025) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 0

Self-Consistency Preference Optimization

Prasad, A., Yuan, W., Pang, R. Y., Xu, J., Fazel-Zarandi, M., Bansal, M., Sukhbaatar, S., Weston, J., & Yu, J. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

GitSwarm: Decentralized Compounding Inference

Shah, V., Samanta, A., Dahal, P., Plekhanov, M., Wu, C.-J., Yih, S., Munos, R., Fergus, R., Foerster, J., Salakhutdinov, R., et al. (2026) · arXiv

Scientific Computing and Data ManagementAI-based Problem Solving and Planning

Cited by 0

Bridging Offline and Online Reinforcement Learning for LLMs

Lanchantin, J., Chen, A., Lan, J., Li, X., Saha, S., Wang, T., Xu, J., Yu, P., Yuan, W., Weston, J. E., et al. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 0