Papers
Resilience in Ambient Multi-Agent LLMs via Decentralized Bio-Autonomic Control and Immune-Inspired Anomaly Detection
Nastaran Darabi, Devashri Naik, Sina Tayebati et al.
A Multi-Agent Conversational Bandit Approach to Online Evaluation and Selection of User-Aligned LLM Responses
Xiangxiang Dai, Yuejin Xie, Maoli Liu et al.
TWINFUZZ: Dual-Model Fuzzing for Robustness Generalization in Deep Learning
Enze Dai, Wentao Mo, Kun Hu et al.
MegaCoin: Enhancing Medium-Grained Color Perception for Vision-Language Models
Ming-Chang Chiu, Shicheng Wen, Pin-Yu Chen et al.
Deep Hidden Cognition Facilitates Reliable Chain-of-Thought Reasoning
Zijun Chen, Wenbo Hu, Richang Hong
Preference Optimization via Contrastive Divergence: Your Policy Is Secretly an NLL Estimator
Zhuotong Chen, Fang Liu, Xuan Zhu et al.
On the Exponential Convergence for Offline RLHF with Pairwise Comparisons
Zhirui Chen, Vincent Y. F. Tan
MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs
Boyuan Chen, Minghao Shao, Abdul Basit et al.
A Course Correction in Steerability Evaluation: Revealing Miscalibration and Side Effects in LLMs
Trenton Chang, Tobias Schnabel, Adith Swaminathan et al.
ALPHA: Action-Based Learning for Pluralistic Human Alignment in Large Language Models
Aanisha Bhattacharyya, Susmit Agrawal, Yaman Kumar Singla et al.
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.