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NAPE: A Minimalist Causal Transformer for Scalable Audio Self-Supervised Learning
Researchers introduce NAPE, a self-supervised audio learning framework that uses causal Transformers to predict next spectrogram p...
PolicyGuide: A New Framework to Enforce Policy Compliance in LLM Agents Across Entire Workflows
Hugging Face researchers introduce PolicyGuide, a framework that compiles domain policies into workflow graphs and uses a proactiv...
Hierarchical Self-Improvement: Evolving Agent Harnesses for Frozen LLMs
A new framework from HKUST lets a frozen LLM evolve its own task-specific execution harness and evolution strategy, yielding signi...
New NARU Benchmark Tests AI's Grasp of Japanese Long-Form Video Narratives
Researchers introduce NARU, a benchmark with 1,481 questions across 155 Japanese videos (146.8 hours) to evaluate narrative evolut...
TinyCast: A 146K-Parameter Zero-Shot Forecaster That Runs on Embedded Devices
Hugging Face researchers introduce TinyCast, an attention-free zero-shot forecaster with only 146,505 parameters that computes per...
New Study Quantifies Benchmark Optimization in ASR Models, Revealing Inflated Scores
A new paper from Hume AI introduces a methodology to quantify benchmark optimization in ASR models, showing that top-scoring model...
EXIMO: A Three-Stage Method to Efficiently Fine-Tune VLA Robot Policies
Researchers propose EXIMO, a novel algorithm that combines VLM-guided exploration, imitation learning, and residual off-policy RL...
From Atari to EVE Online: Google DeepMind Marks 15 Years of AI Research in Games
Google DeepMind reflects on 15 years of AI research in games, from Atari to EVE Online, highlighting milestones like AlphaGo and S...
CoToGrasp: New Framework Synthesizes Dexterous Grasps Conditioned on Contact Topologies
Researchers introduce CoToGrasp, a generative framework that synthesizes stable, diverse grasps conditioned on specific contact to...
GOAG: Object-Agnostic Grasp Planner Achieves 86.93% Success on MultiDex
Researchers introduce GOAG, a deep generative grasp planner that learns gripper-specific contact surfaces to generalize to unseen...
QuoteBench: Matched Scores Mask Command-Path Failures in LLM Coding Agents
A new benchmark, QuoteBench, reveals that execution-boundary parsing errors significantly reduce LLM coding agent success, and dis...
Chain-of-Experience: A New Paradigm for Continual LLM Improvement at Test Time
A new study introduces Chain-of-Experience (CoE), a test-time feedback loop that lets LLMs learn from iterative experience, outper...