Many Right Answers, One Training Example: Removing Responder Noise from GRPO for LLM Recommenders Paper • 2610.17771 • Published 16 days ago • 80 • 4
Share the Symbol, Not the Vector: Training-Free Fact Communication Across Language Models Paper • 2610.19696 • Published 15 days ago • 21
Many Right Answers, One Training Example: Removing Responder Noise from GRPO for LLM Recommenders Paper • 2610.17771 • Published 16 days ago • 80
EntroPE: Entropy-Guided Dynamic Patch Encoder for Time Series Forecasting Paper • 2509.26157 • Published Sep 30, 2025 • 4
Many Right Answers, One Training Example: Removing Responder Noise from GRPO for LLM Recommenders Paper • 2610.17771 • Published 16 days ago • 80
Many Right Answers, One Training Example: Removing Responder Noise from GRPO for LLM Recommenders Paper • 2610.17771 • Published 16 days ago • 80
Share the Symbol, Not the Vector: Training-Free Fact Communication Across Language Models Paper • 2610.19696 • Published 15 days ago • 21
Share the Symbol, Not the Vector: Training-Free Fact Communication Across Language Models Paper • 2610.19696 • Published 15 days ago • 21
SYNC: Share the Symbol, Not the Vector Collection Per-row records and fitted word directions for SYNC. Paper: arxiv.org/abs/2610.19696 · Code: github.com/LiXin97/SYNC • 3 items • Updated 14 days ago
AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards Paper • 2610.18860 • Published 16 days ago • 138
ReMaRk: Many Right Answers, One Training Example Collection Checkpoints and data for ReMaRk (GRPO for LLM recommenders without responder noise). Code: github.com/LiXin97/ReMaRk • 25 items • Updated 13 days ago
XINLI1997/Llama-3.1-8B-ReMaRk-RedditV2-RankGRPO-s3407 Text Generation • 8B • Updated 14 days ago • 350 • 1