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830 documents correspondants.

Prépublication · 2026 arXiv EN

Lost in Implicit Routing: How LLM Agents Fail to Load Relevant Skills at Scale

Reusable skills let LLM agents load task-specific instructions on demand, but they make execution depend on implicit routing over skill metadata. We test whether this design scales by holding SkillsBench tasks and their golden skills fixed while adding irrelev...

Jinlin Liu, Wei Chen et al. #cs.AI
Prépublication · 2026 arXiv EN

The Geometry of Language Model Logits: Generic Structure and Learned Departures

Autoregressive language models produce, at every prediction step, a vocabulary-sized logit vector whose structure determines the conditional next-token distribution. We empirically identify that the ordered vocabulary-head logits follow a remarkably consistent...

Swathi Shree Narashiman, Aravind Ramana Venkatramanan et al. #cs.CL
Prépublication · 2026 arXiv EN

Imprinting: Knowledge Distillation Can Shift Student Behavior

Knowledge distillation trains student models on teacher-generated responses to transfer task capability, but those responses may also carry behavioral tendencies of their source. We investigate whether the source teacher can shape student behavior beyond the c...

Yu-Chien Tang, An-Zi Yen #cs.CL
Prépublication · 2026 arXiv EN

A Global View of How LLMs Value Human Time

Large language models (LLMs) increasingly act as personal assistants; however, little is known about how they capture national-level preferences on a global scale. Given that "time" is a universal and representative concept, we examine LLMs' time preferences b...

Yifan He, Sofie Goethals et al. #cs.CY
Prépublication · 2026 arXiv EN

EgoOmniWorld: Unifying Egocentric Understanding via Ego-Action-World Interactions

Egocentric video understanding spans diverse capabilities, modalities, and evaluation formats, yet these are often studied in isolation despite their tight coupling in real-world interaction. We propose the Ego-Action-World interaction loop as a unifying princ...

Songruo Chen, Yuqian Fu et al. #cs.CV
Prépublication · 2026 arXiv EN

Aligning Faithfulness for Theory-Scale Autoformalization

Autoformalization (AF) requires more than compilation: formal statements must preserve the meaning of their informal sources, a property known as faithfulness. An emerging frontier is the automated evaluation of this property, yet most existing methods operate...

Yuming Feng, Tadd Mao et al. #cs.CL
Prépublication · 2026 arXiv EN

Judges Follow the Reference: The Derivation Gap in Verifying Tool-Call Arguments

Tool-call judges evaluate argument values proposed by LLM agents. We find that they accept a correct value less often when their input holds no reference for it, that is, no text that says what the value should be. This happens when the value is a default valu...

Linhai Ma, Yan Wang et al. #cs.AI