News
QFFT, Question-Free Fine-Tuning for Adaptive Reasoning
arXiv:2506.12860v1 Announce Type: new Abstract: Recent advancements in Long Chain-of-Thought (CoT) reasoning models have improved...
Puzzle Corner Archives
July/August 25Guest edited by Edward Faulkner ’03 May/June 25Guest edited by Frank Rubin ’62 March/April...
ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs
arXiv:2502.00258v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have demonstrated exceptional performance in natural...
ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs
arXiv:2506.15211v1 Announce Type: new Abstract: Recent advances in Large Reasoning Models (LRMs) trained with Long...
Pronunciation-Lexicon Free Training for Phoneme-based Crosslingual ASR via Joint Stochastic Approximation
arXiv:2507.06249v1 Announce Type: cross Abstract: Recently, pre-trained models with phonetic supervision have demonstrated their advantages...
PromptCanvas: Composable Prompting Workspaces Using Dynamic Widgets for Exploration and Iteration in Creative Writing
arXiv:2506.03741v1 Announce Type: cross Abstract: We introduce PromptCanvas, a concept that transforms prompting into a...
Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models
arXiv:2506.14625v2 Announce Type: replace Abstract: Large Language Models (LLMs) have shown impressive moral reasoning abilities...
Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training
arXiv:2505.08971v1 Announce Type: cross Abstract: In standard large vision-language models (LVLMs) pre-training, the model typically...
Pose-Based Sign Language Appearance Transfer
arXiv:2410.13675v2 Announce Type: replace-cross Abstract: We introduce a method for transferring the signer’s appearance in...
Political Leaning and Politicalness Classification of Texts
arXiv:2507.13913v1 Announce Type: new Abstract: This paper addresses the challenge of automatically classifying text according...
PoE-World + Planner Outperforms Reinforcement Learning RL Baselines in Montezuma’s Revenge with Minimal Demonstration Data
The Importance of Symbolic Reasoning in World Modeling Understanding how the world works is key...
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving
arXiv:2507.07495v1 Announce Type: new Abstract: Recently, decomposing complex problems into simple subtasks–a crucial part of...
