EPOCH: Coverage-Aware Evolution with Experiential Preference Optimization for LLM-based Automated Heuristic Design Paper • 2610.17379 • Published 26 days ago
Evaluator-in-the-Loop Monte Carlo Tree Search via LLM Agents for Motif Scaffolding in Protein Design Paper • 2610.02924 • Published Oct 2
Adaptive Test-Time Compute Allocation with Evolving In-Context Demonstrations Paper • 2604.21018 • Published Apr 22 • 1
UniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement Paper • 2609.38721 • Published Sep 30 • 134
Strategic Scaling of Test-Time Compute: A Bandit Learning Approach Paper • 2506.12721 • Published Jun 15, 2025 • 1
MOSAIC: Adversarial Co-evolution of Specialist Heuristics and Problem Instances for LLM-based Automated Heuristic Design Paper • 2608.07544 • Published Jul 31
DIVE: Unlocking Self-Improvement in Frozen Language Models Through Diversity-Driven Skill Evolution Paper • 2608.12486 • Published Aug 12
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation Paper • 2305.15541 • Published May 24, 2023 • 1
Long-Context Modeling with Dynamic Hierarchical Sparse Attention for On-Device LLMs Paper • 2510.24606 • Published Oct 28, 2025
PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMs Paper • 2601.20539 • Published Jan 28
Enhancing Long Chain-of-Thought Reasoning through Multi-Path Plan Aggregation Paper • 2510.11620 • Published Oct 16, 2025
Deliberate Planning in Language Models with Symbolic Representation Paper • 2505.01479 • Published Oct 6, 2025
CausalEval: Towards Better Causal Reasoning in Language Models Paper • 2410.16676 • Published Feb 17, 2025
The Compressor-Retriever Architecture for Language Model OS Paper • 2409.01495 • Published Sep 2, 2024