arXiv:2511.06346v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) perform well on standard reasoning and question-answering benchmarks, yet such evaluations...

arXiv:2601.04742v1 Announce Type: new Abstract: Large Language Models (LLMs) suffer from hallucinations and factual inaccuracies, especially in complex reasoning and...

arXiv:2512.21002v2 Announce Type: replace Abstract: Distilling the capabilities from a large reasoning model (LRM) to a smaller student model often...

arXiv:2601.04411v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) is a simple but powerful paradigm for training LLMs:...

arXiv:2601.04638v1 Announce Type: new Abstract: Medical consultations are intrinsically speech-centric. However, most prior works focus on long-text-based interactions, which are...

arXiv:2601.03605v1 Announce Type: new Abstract: Despite the significant advancements of Large Language Models (LLMs), their factuality remains a critical challenge,...

arXiv:2601.03682v1 Announce Type: new Abstract: Recent studies reveal that large language models (LLMs) exhibit limited logical reasoning abilities in mathematical...

arXiv:2601.03615v1 Announce Type: new Abstract: Audio Language Models (ALMs) offer a promising shift towards explainable audio deepfake detections (ADDs), moving...

arXiv:2512.22431v2 Announce Type: replace-cross Abstract: The proliferation of Large Language Models (LLMs) has catalyzed a shift towards autonomous agents capable...