Learning Multiple Timescales for Goal-Conditioned Reinforcement Learning
Pedro Robles Dutenhefner et al.
#arXiv #cs.AI #stat.ML

Learning Multiple Timescales for Goal-Conditioned Reinforcement Learning
Pedro Robles Dutenhefner et al.
#arXiv #cs.AI #stat.ML
Agent Evaluation Reliability: More Tasks Won't (Always) Fix An Agent Leaderboard
Michael Hardy et al.
#arXiv #cs.AI #cs.LG #stat.AP
Targeted Retrieval, Compact Representations: How CoT Reasoning Improves Long-Context Counting
Liang Twist Shan et al.
#arXiv #cs.AI #cs.CL #cs.LG #stat.AP
Targeted Retrieval, Compact Representations: How CoT Reasoning Improves Long-Context Counting
Liang Twist Shan et al.
#arXiv #cs.AI #cs.CL #cs.LG #stat.AP
OTROPE: Optimal Transport-based Robust Off-policy Evaluation for Large Language Models
Liner Xiang, Wenbo Zhang, Hengrui Cai
#arXiv #cs.AI #cs.CL #stat.ML
OTROPE: Optimal Transport-based Robust Off-policy Evaluation for Large Language Models
Liner Xiang, Wenbo Zhang, Hengrui Cai
#arXiv #cs.AI #cs.CL #stat.ML
XU-RS: Explaining Credal Width in Random-Set Language Models
David Achara et al.
#arXiv #cs.AI #stat.ML
🇳🇴 Staten skal stå for millionkrav
CoeF-SFL: Preserving Collaborative Server-Client Learning with Enhanced Communication Efficiency
Junwoo Bae, Jin-Hyun Ahn
#arXiv #cs.AI #stat.ML
AmbiModBench: Benchmarking Gene Perturbation Prediction Beyond Shared Responses
Sikai Huang et al.
#arXiv #cs.AI #cs.LG #q-bio.GN #stat.AP
Retrospective Distillation Attribution via Normalized Response Similarity
Minwoo Jang et al.
#arXiv #cs.AI #cs.CL #cs.CR #cs.LG #stat.ML
Retrospective Distillation Attribution via Normalized Response Similarity
Minwoo Jang et al.
#arXiv #cs.AI #cs.CL #cs.CR #cs.LG #stat.ML
81 % lidí v anketě odmítlo čtvrtou vojenskou nemocnici s tím, že armáda potřebuje raději zbraně. Ti samí lidé si jinde stěžují na kolaps péče. Dva názory, které nikdy nebyly ve stejné místnosti.
Pojistná matematika obrany od Valeriana Krosse.
Benchy: towards a universal language for task-oriented AI benchmarks
Francis F Daniel et al.
#arXiv #cs.AI #stat.ME
Accounting for Bias Enables Sustainable LLM Evaluation
Harshita Katoch et al.
#arXiv #cs.AI #cs.LG #stat.AP #stat.ME
Human-AI-Powered Hypothesis Testing: Cost-Aware Selective AI Scoring and Sequential Human Escalation
Dae Woong (David) et al.
#arXiv #cs.AI #cs.IT #math.IT #stat.ME
Back to the Definition: Estimating Step-Level Advantages via Trajectory Graphs for Agentic Reinforcement Learning
Xincheng Yao et al.
#arXiv #cs.AI #stat.ML
Back to the Definition: Estimating Step-Level Advantages via Trajectory Graphs for Agentic Reinforcement Learning
Xincheng Yao et al.
#arXiv #cs.AI #stat.ML
Potential for Enhanced Learning in Machine Learning Classes by Using Wiki LLM Indexing
Brian Wright
#arXiv #cs.AI #stat.CO