新闻
AutoMixer: Checkpoint Artifacts as Automatic Data Mixers
arXiv:2506.21910v1 Announce Type: new Abstract: In language model training, it is desirable to equip models...
Automatically assessing oral narratives of Afrikaans and isiXhosa children
arXiv:2507.13205v1 Announce Type: new Abstract: Developing narrative and comprehension skills in early childhood is critical...
Automatic Prompt Optimization with Prompt Distillation
arXiv:2508.18992v2 Announce Type: replace Abstract: Autoprompting is the process of automatically selecting optimized prompts for...
Automatic Detection of Inauthentic Templated Responses in English Language Assessments
arXiv:2509.08355v1 Announce Type: new Abstract: In high-stakes English Language Assessments, low-skill test takers may employ...
Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
arXiv:2509.12955v2 Announce Type: replace Abstract: The automated generation of research workflows is essential for improving...
AutoLibra: Agent Metric Induction from Open-Ended Feedback
arXiv:2505.02820v2 Announce Type: replace-cross Abstract: Agents are predominantly evaluated and optimized via task success metrics...
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...
