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cs.AI2026
Counsel: A Meta-Evaluation Dataset for Agentic Tasks
Sashank Pisupati, Henry Broomfield, Eujeong Choi +5
As agentic systems tackle increasingly complex multi-step tasks, evaluating their trajectories presents a major bottleneck - human annotation of a single trajectory on popular agen…
cs.LG2026
Learning is Forgetting: LLM Training As Lossy Compression
Henry C. Conklin, Tom Hosking, Tan Yi-Chern +5
Despite the increasing prevalence of large language models (LLMs), we still have a limited understanding of how their representational spaces are structured. This limits our abilit…