:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Yepeng, Huang, Yu, Wang, Yu-Xiang, Liang, Yingbin, Bu, Yuheng
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2602.01075
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Risk-sensitive Reinforcement Learning Based on Convex Scoring Functions
by: Han, Shanyu, et al.
Published: (2025)

Image Watermarks are Removable Using Controllable Regeneration from Clean Noise
by: Liu, Yepeng, et al.
Published: (2024)

Learnable Chernoff Baselines for Inference-Time Alignment
by: Madhow, Sunil, et al.
Published: (2026)

SourceBench: Can AI Answers Reference Quality Web Sources?
by: Jin, Hexi, et al.
Published: (2026)

Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails
by: Jin, Ruinan, et al.
Published: (2026)

Agentic Transformers Provably Learn to Search via Reinforcement Learning
by: Yang, Tong, et al.
Published: (2026)

Adaptive Text Watermark for Large Language Models
by: Liu, Yepeng, et al.
Published: (2024)

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy
by: Wang, Erchi, et al.
Published: (2026)

Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent
by: Yang, Tong, et al.
Published: (2025)

Second-Order Convergence in Private Stochastic Non-Convex Optimization
by: Tao, Youming, et al.
Published: (2025)

Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games
by: Feng, Songtao, et al.
Published: (2023)

Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric
by: Koh, Hyukhun, et al.
Published: (2024)

MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning?
by: Yan, Kai, et al.
Published: (2025)

Large Language Models as Amortized Pareto-Front Generators for Constrained Bi-Objective Convex Optimization
by: Xu, Peipei, et al.
Published: (2026)

NetAgentBench: A State-Centric Benchmark for Evaluating Agentic Network Configuration
by: Twabi, Ahmed, et al.
Published: (2026)

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
by: Rao, Xuan, et al.
Published: (2022)

Sample-and-Bound for Non-Convex Optimization
by: Zhai, Yaoguang, et al.
Published: (2024)

ExpressivityBench: Can LLMs Communicate Implicitly?
by: Tint, Joshua, et al.
Published: (2024)

AgentBench: Evaluating LLMs as Agents
by: Liu, Xiao, et al.
Published: (2023)

Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
by: Heo, Jaeseung, et al.
Published: (2025)

TransBench: Breaking Barriers for Transferable Graphical User Interface Agents in Dynamic Digital Environments
by: Lu, Yuheng, et al.
Published: (2025)

Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent
by: Shang, Shang, et al.
Published: (2024)

TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction
by: Yu, Dahai, et al.
Published: (2026)

$A^*$ for Graphs of Convex Sets
by: Sundar, Kaarthik, et al.
Published: (2024)

DynTaskMAS: A Dynamic Task Graph-driven Framework for Asynchronous and Parallel LLM-based Multi-Agent Systems
by: Yu, Junwei, et al.
Published: (2025)

Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs
by: Liu, Yepeng, et al.
Published: (2025)

IndustryBench: Probing the Industrial Knowledge Boundaries of LLMs
by: Bai, Songlin, et al.
Published: (2026)

MobileKernelBench: Can LLMs Write Efficient Kernels for Mobile Devices?
by: Zou, Xingze, et al.
Published: (2026)

Detector-Evasive LLM Paraphrasing via Constrained Policy Optimization
by: Wang, Mingyi, et al.
Published: (2026)

ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models
by: Zhou, Xiyuan, et al.
Published: (2024)

MedMT-Bench: Can LLMs Memorize and Understand Long Multi-Turn Conversations in Medical Scenarios?
by: Yang, Lin, et al.
Published: (2026)

As If We've Met Before: LLMs Exhibit Certainty in Recognizing Seen Files
by: Li, Haodong, et al.
Published: (2025)

IRC-Bench: Recognizing Entities from Contextual Cues in First-Person Reminiscences
by: Aperstein, Yehudit, et al.
Published: (2026)

Probabilistic Circuits with Constraints via Convex Optimization
by: Ghandi, Soroush, et al.
Published: (2024)

On the Convexity and Reliability of the Bethe Free Energy Approximation
by: Leisenberger, Harald, et al.
Published: (2024)

Learning Weakly Convex Sets in Metric Spaces
by: Stadtländer, Eike, et al.
Published: (2021)

Can Large Language Models Really Recognize Your Name?
by: Pham, Dzung, et al.
Published: (2025)

Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles
by: Farzin, Amir Ali, et al.
Published: (2025)

ComboBench: Can LLMs Manipulate Physical Devices to Play Virtual Reality Games?
by: Li, Shuqing, et al.
Published: (2025)

AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters
by: Luo, Hanjun, et al.
Published: (2026)