Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text (2026 · 4 citations)
Training LLM agents for multi-turn tool use is limited by a shortage of realistic trajectories. Most existing synthesis methods start from a fixed API collection, so the data can only be as broad as that collection. The authors invert this approach. They argue that ordinary web text, such as how-to guides and…
PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware Metacognition (2026)
Large Reasoning Models perform well on math and coding, but longer chains of thought do not reliably make them safer or more helpful in general-purpose use.
Understanding Conflicts in Multi-Objective Alignment through Reward Consistency (2026)
When a language model is aligned to several preferences at once, such as helpfulness and harmlessness, gains on one objective often reduce performance on another.

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Updated 2 November 2026