Noticias
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...
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...
ArcMemo: Abstract Reasoning Composition with Lifelong LLM Memory
arXiv:2509.04439v1 Announce Type: cross Abstract: While inference-time scaling enables LLMs to carry out increasingly long...
Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration
arXiv:2501.12901v2 Announce Type: replace Abstract: Contextual Partitioning introduces an innovative approach to enhancing the architectural...
Apple Researchers Reveal Structural Failures in Large Reasoning Models Using Puzzle-Based Evaluation
Artificial intelligence has undergone a significant transition from basic language models to advanced models that...
