Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic Paper • 2509.01363 • Published 6 days ago • 35
Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion Paper • 2311.06318 • Published Nov 10, 2023 • 3
HeroBench: A Benchmark for Long-Horizon Planning and Structured Reasoning in Virtual Worlds Paper • 2508.12782 • Published 20 days ago • 25
RiemannLoRA: A Unified Riemannian Framework for Ambiguity-Free LoRA Optimization Paper • 2507.12142 • Published Jul 16 • 36
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models Paper • 2506.06395 • Published Jun 5 • 130
Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models Paper • 2506.06751 • Published Jun 7 • 72
Exploring the Latent Capacity of LLMs for One-Step Text Generation Paper • 2505.21189 • Published May 27 • 62
Quartet: Native FP4 Training Can Be Optimal for Large Language Models Paper • 2505.14669 • Published May 20 • 78
Risk-Averse Reinforcement Learning with Itakura-Saito Loss Paper • 2505.16925 • Published May 22 • 26
view article Article CircleGuardBench: New Standard for Evaluating AI Moderation Models By whitecircle-ai and 7 others • May 7 • 54
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders Paper • 2503.18878 • Published Mar 24 • 121
When Less is Enough: Adaptive Token Reduction for Efficient Image Representation Paper • 2503.16660 • Published Mar 20 • 73
One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation Paper • 2503.13358 • Published Mar 17 • 96
When an LLM is apprehensive about its answers -- and when its uncertainty is justified Paper • 2503.01688 • Published Mar 3 • 21