When Lower Reconstruction Loss Hurts: Distributionally Robust Refinement for Low-Bit LLM Quantization
Yanlong Zhao et al.
#arXiv #cs.AI #cs.LG #stat.ML

When Lower Reconstruction Loss Hurts: Distributionally Robust Refinement for Low-Bit LLM Quantization
Yanlong Zhao et al.
#arXiv #cs.AI #cs.LG #stat.ML
Outperformance Inverse Optimization: Learning Objective Functions that Outperform Agent Decisions
Akira Kitaoka
#arXiv #cs.AI #math.OC #math.ST #stat.ML #stat.TH
I was feeling very creative and made art of Stat as a Were-Spider!
#Regretevator #PixelArt #STAT #Blender #Halloween #Spider #Werewolf #SpookySeason
Connecticut elected officials held a press conference last week to denounce ICE’s recent surge in the state, following the arrests of four young people at Connecticut airports, one a college freshman trying to take a domestic flight.
When Is Enough Enough in Self-Evolving LLM Systems?
Enoch Yin, Bin Liu, Zhengling Qi
#arXiv #cs.AI #cs.LG #stat.ML
Causally Fair Generation with Large Language Models
Patrik Okanovic, Torsten Hoefler, Drago Plecko
#arXiv #cs.AI #cs.LG #stat.ML
Novacium Unveils Prototype Batteries with Double Energy Capacity for Tactical Applications #France #Batteries #STAT #Novacium #Solaize
CreateScore: Domain-Theory-Informed Bayesian Routing for LLM-Based CV Screening
Rupsa Roy
#arXiv #cs.AI #stat.AP
The 2026 MacArthur Fellows have been announce. It struck me that there were no mathematicians or statisticians among them. I wondered how often that happened, so I turned to Gemini. 🧵1/2
#mathematics #math #statistics #stat #fellowship
Source: buff.ly/fsmAQVG
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