Papers
DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs
Oluwanifemi Bamgbose, Masoud Hashemi, Sathwik Tejaswi Madhusudhan et al.
Operationalizing Pluralistic Values in Large Language Model Alignment Reveals Trade-offs in Safety, Inclusivity, and Model Behavior
Dalia Ali, Dora Zhao, Allison Koenecke et al.
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Mahdi Alehdaghi, Rajarshi Bhattacharya, Pourya Shamsolmoali et al.
AURA: Affordance-Understanding and Risk-aware Alignment Technique for Large Language Models
Sayantan Adak, Pratyush Chatterjee, Somnath Banerjee et al.
FPT Approximation Algorithms for TSP on Non-Metric Graphs
Jingyang Zhao, Zimo Sheng, Mingyu Xiao
Superior Runtime Guarantees for the MOEA/D Multi-Objective Optimizer via Weighted-Sum Decomposition
Danyang Zhang, Zerong Zhong, Weijie Zheng et al.
Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering
Chen Wang, Yue-Jiao Gong, Zhiguang Cao et al.
Deeper Treatment of the Bi-objective Search Framework
Shawn Skyler, Dor Atzmon, Ariel Felner et al.
Bidirectional Bounded-Suboptimal Heuristic Search with Consistent Heuristics
Shahaf S. Shperberg, Natalie Morad, Lior Siag et al.
Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
Shengjie Ren, Zimin Liang, Miqing Li et al.
Breadth-First Search vs. Restarting Random Walks for Escaping Uninformed Heuristic Regions
Daniel Platnick, Dawson Tomasz, Eamon Earl et al.
Multiple-Interval Coverage for Resource Management of Passive Surveillance Systems
Jan Pikman, Přemysl Šůcha, Claire Hanen et al.
Exact Combinatorial Multi-Class Graph Cuts for Semi-Supervised Learning
Mohammad Mahdi Omati, Yasin Salajeghe, Mahshad Moradi et al.
Ordinal Secretaries with Advice
Hasti Nourmohammadi, Ying Cao, Bo Sun et al.
Theoretical and Empirical Analysis of Lehmer Codes to Search Permutation Spaces with Evolutionary Algorithms
Yuxuan Ma, Valentino Santucci, Carsten Witt
EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design
Fei Liu, Yilu Liu, Qingfu Zhang et al.
CRAF: A Clinical Reasoning-Adaptive Framework via Reinforcement Learning for Similar Case Retrieval
Jie Lin, Lei Jiang, Zongyi Chen et al.
Random is Faster than Systematic in Multi-Objective Local Search
Zimin Liang, Miqing Li
Efficient Few-Step Solution Generation via Discrete Flow Matching for Combinatorial Optimization
Yuanshu Li, Di Wang, Wei Du et al.
Post-Hoc Refinement for Multitask Symbolic Regression via Consensus-Accelerated Shapley Analysis
Xinyue Li, Wang Hu, Yu Zhang
A Solution Space Transformation-Guided Co-Evolution for Energy-Saving Distributed Heterogeneous Flexible Job Shop Scheduling
Tao Li, Xingchen Li, Haoyue Ma et al.
Nested Depth Search
Junkang Li, Tristan Cazenave, Swann Legras et al.
Priority-Based Graph-Enhanced Reinforcement Learning for Robust Analog Circuit Optimization
Jintao Li, Zhenxin Chen, Sicheng He et al.