arXiv Artificial IntelligenceShould We Type or Talk to LLM Agents? A Comprehensive Study of Voice and Keyboard Input Perturbations
arXiv:2608.03970v1 Announce Type: new Abstract: Human input reaches language models by typing or speaking…
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arXiv Artificial IntelligencearXiv:2608.03970v1 Announce Type: new Abstract: Human input reaches language models by typing or speaking…
arXiv Artificial IntelligencearXiv:2608.03961v1 Announce Type: new Abstract: Test-time scaling improves LLM reasoning by generating and…
arXiv Artificial IntelligencearXiv:2608.03958v1 Announce Type: new Abstract: As autonomous agents powered by foundation models are…
arXiv Artificial IntelligencearXiv:2608.03952v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to provide…
arXiv Artificial IntelligencearXiv:2608.03917v1 Announce Type: new Abstract: Causal perception occurs when agents with competing…
arXiv Artificial IntelligencearXiv:2608.03910v1 Announce Type: new Abstract: As AI systems are deployed across increasingly diverse social…
arXiv Artificial IntelligencearXiv:2608.03892v1 Announce Type: new Abstract: We study linear representations of temporal horizon in the…
arXiv Artificial IntelligencearXiv:2608.03874v1 Announce Type: new Abstract: Modern agent frameworks equip large language models with…
arXiv Artificial IntelligencearXiv:2608.03866v1 Announce Type: new Abstract: This white paper presents ADMITBench, a reference framework…
arXiv Artificial IntelligencearXiv:2608.03844v1 Announce Type: new Abstract: Memory-augmented LLM agents rely on rich context for…
arXiv Artificial IntelligencearXiv:2608.03839v1 Announce Type: new Abstract: Training-free speculative decoding drafts by matching an…
arXiv Artificial IntelligencearXiv:2608.03838v1 Announce Type: new Abstract: Reasoning-based guard models improve LLM safeguards, but…