3 papers
cs.LG2026
Training Language Agents to Learn from Experience
Yuval Shalev, Zifeng Ding, Mateja Jamnik
Language agents can adapt from experience in interactive environments, but current reflection-based methods can only self-correct within a single task instance. Whether such experi…
cs.CL2024
Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning
Yuval Shalev, Amir Feder, Ariel Goldstein
Large language models (LLMs) have shown an impressive ability to perform tasks believed to require thought processes. When the model does not document an explicit thought process,…
cs.IT2020
Neural Joint Entropy Estimation
Yuval Shalev, Amichai Painsky, Irad Ben-Gal
Estimating the entropy of a discrete random variable is a fundamental problem in information theory and related fields. This problem has many applications in various domains, inclu…