Precision on Demand: Escalating Weight Bits at Uncertain Decoding Steps in a Small Local Model Paper • 2611.14418 • Published 3 days ago • 4
MACaQ: Fast, Model Agnostic Calibrated Quantization for Low-Precision Weights and Activations Paper • 2611.10649 • Published 6 days ago • 31
SteerDistill: Quantizing LLM Agents via Closed-Loop Teacher Steering Paper • 2611.13410 • Published 3 days ago • 29
GTAGym: Real AAA Game Tasks Environment for Evaluation and Reinforcement Learning Paper • 2611.13028 • Published 4 days ago • 13 • 4
Learning to Act with World Models by Valuing What Comes Next Paper • 2611.12200 • Published 3 days ago • 4 • 5
Coding or Cheating? An Investigation of Frontier Coding LLMs Paper • 2611.10404 • Published 6 days ago • 5 • 8
Shortcuts and Boundaries: Verifiable RL Misalignment and Contextual Safety Learning Paper • 2611.12865 • Published 4 days ago • 5 • 5
Is Your Robot's Memory Just a Clock? Temporal Shortcuts in Memory-Augmented VLA Policies Paper • 2611.14488 • Published 3 days ago • 8 • 7
From Tool State to Scientific Action: Auditing Decision Provenance in Biomedical Research Agents Paper • 2611.01527 • Published 12 days ago • 11 • 5
FlyHash for LLM Agent Memory: An Empirical Validation and a New Application Paper • 2611.05791 • Published 9 days ago • 5 • 9
One Table, Many Queries: Benchmarking Generalist Tabular Models Across Generation, Imputation, and Prediction Paper • 2611.13001 • Published 5 days ago • 39 • 5
SWAM: Scaling World Action Models with Cross-Modal Alignment Paper • 2611.12870 • Published 4 days ago • 23 • 5
Market-Conditioned JEPA: Learning from Unpredictable Market Shocks Paper • 2611.13572 • Published 3 days ago • 5 • 5
Incentivizing Self-Learning in Large Language Models via Reinforcement Learning Paper • 2610.39671 • Published 15 days ago • 26 • 7
Agreement is not evidence Collection When ChatGPT and Claude agree, is it right? LoCoMo memory dataset and demo Space. • 2 items • Updated about 13 hours ago