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arXiv:2509.11656v1 Announce Type: cross Abstract: Multi-agent debate (MAD) has demonstrated the ability to augment collective intelligence by scaling test-time compute...
arXiv:2505.16281v2 Announce Type: replace Abstract: The advancement of Large Language Models (LLMs) enables flexible and interpretable automatic evaluations. In the...
arXiv:2509.10414v2 Announce Type: replace Abstract: In-context learning (ICL) allows some autoregressive models to solve tasks via next-token prediction and without...
arXiv:2505.00047v2 Announce Type: replace Abstract: Alignment has quickly become a default ingredient in LLM development, with techniques such as reinforcement...
MoonshotAI has open-sourced checkpoint-engine, a lightweight middleware aimed at solving one of the key bottlenecks in large language model (LLM)...
arXiv:2505.19634v4 Announce Type: replace Abstract: Test-Time Scaling (TTS) has proven effective in improving the performance of Large Language Models (LLMs)...
arXiv:2509.09723v1 Announce Type: new Abstract: Psychological measurement is critical to many disciplines. Despite advances in measurement, building nomological networks, theoretical...
Table of contents What architecture powers MobileLLM-R1? How efficient is the training? How does it perform against other open models?...
arXiv:2507.13335v2 Announce Type: replace Abstract: Humour, as a complex language form, is derived from myriad aspects of life. Whilst existing...
AutoCode: A New AI Framework that Lets LLMs Create and Verify Competitive Programming Problems, Mirroring the Workflow of Human Problem Setters
Audio Contrastive-based Fine-tuning: Decoupling Representation Learning and Classification
Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion
Attention Basin: Why Contextual Position Matters in Large Language Models
AsyncSwitch: Asynchronous Text-Speech Adaptation for Code-Switched ASR
