3 papers
cs.LG2026
Discrete Diffusion Models Exploit Asymmetry to Solve Lookahead Planning Tasks
Itamar Trainin, Shauli Ravfogel, Omri Abend +1
While Autoregressive (AR) Transformer-based Generative Language Models are frequently employed for lookahead tasks, recent research suggests a potential discrepancy in their abilit…
cs.CL2026
Evaluating Alignment of Behavioral Dispositions in LLMs
Amir Taubenfeld, Zorik Gekhman, Lior Nezry +8
As LLMs integrate into our daily lives, understanding their behavior becomes essential. In this work, we focus on behavioral dispositionsthe underlying tendencies that shape res…
cs.CL2025
Confidence Improves Self-Consistency in LLMs
Amir Taubenfeld, Tom Sheffer, Eran Ofek +4
Self-consistency decoding enhances LLMs' performance on reasoning tasks by sampling diverse reasoning paths and selecting the most frequent answer. However, it is computationally e…