Noticias
AutoJudge: Judge Decoding Without Manual Annotation
arXiv:2504.20039v4 Announce Type: replace Abstract: We introduce AutoJudge, a method that accelerates large language model...
AutoCode: A New AI Framework that Lets LLMs Create and Verify Competitive Programming Problems, Mirroring the Workflow of Human Problem Setters
Are your LLM code benchmarks actually rejecting wrong-complexity solutions and interactive-protocol violations, or are they...
Audio Contrastive-based Fine-tuning: Decoupling Representation Learning and Classification
arXiv:2309.11895v4 Announce Type: replace-cross Abstract: Standard fine-tuning of pre-trained audio models couples representation learning with...
Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion
arXiv:2506.01365v1 Announce Type: cross Abstract: Voice Activity Detection (VAD) plays a key role in speech...
Attention Basin: Why Contextual Position Matters in Large Language Models
arXiv:2508.05128v1 Announce Type: new Abstract: The performance of Large Language Models (LLMs) is significantly sensitive...
AsyncSwitch: Asynchronous Text-Speech Adaptation for Code-Switched ASR
arXiv:2506.14190v1 Announce Type: new Abstract: Developing code-switched ASR systems is challenging due to language ambiguity...
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
arXiv:2506.13992v1 Announce Type: cross Abstract: Large language models (LLMs) have advanced the automation of data...
Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation
arXiv:2507.18224v4 Announce Type: replace-cross Abstract: Multi-agent systems (MAS) based on large language models (LLMs) have...
Ask Good Questions for Large Language Models
arXiv:2508.14025v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have significantly improved...
Are Your LLMs Capable of Stable Reasoning?
arXiv:2412.13147v5 Announce Type: replace-cross Abstract: The rapid advancement of large language models (LLMs) has shown...
Are Vision Language Models Cross-Cultural Theory of Mind Reasoners?
arXiv:2512.17394v2 Announce Type: replace Abstract: Theory of Mind (ToM) – the ability to attribute beliefs...
Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark
arXiv:2510.26802v1 Announce Type: cross Abstract: Recent video generation models can produce high-fidelity, temporally coherent videos...
