:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Li, Xiaozhe, Chen, Jixuan, Fang, Xinyu, Ding, Shengyuan, Duan, Haodong, Liu, Qingwen, Chen, Kai
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.08904
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OPT-BENCH: Evaluating LLM Agent on Large-Scale Search Spaces Optimization Problems
by: Li, Xiaozhe, et al.
Published: (2025)

NP-Engine: Empowering Optimization Reasoning in Large Language Models with Verifiable Synthetic NP Problems
by: Li, Xiaozhe, et al.
Published: (2025)

Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs
by: Li, Xiaozhe, et al.
Published: (2026)

Beyond Mode Collapse: Distribution Matching for Diverse Reasoning
by: Li, Xiaozhe, et al.
Published: (2026)

AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library
by: Kong, Minwei, et al.
Published: (2025)

LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research
by: Yan, Shuo, et al.
Published: (2025)

OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling
by: Chen, Yitian, et al.
Published: (2026)

Escaping the Context Bottleneck: Active Context Curation for LLM Agents via Reinforcement Learning
by: Li, Xiaozhe, et al.
Published: (2026)

M3-BENCH: Process-Aware Evaluation of LLM Agents' Social Behaviors in Mixed-Motive Games
by: Xie, Sixiong, et al.
Published: (2026)

PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints
by: Park, Minjun, et al.
Published: (2026)

AI4OPT: AI Institute for Advances in Optimization
by: Van Hentenryck, Pascal, et al.
Published: (2023)

ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning
by: Potamitis, Nearchos, et al.
Published: (2025)

Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks
by: Wang, Chonghua, et al.
Published: (2024)

CONDESION-BENCH: Conditional Decision-Making of Large Language Models in Compositional Action Space
by: Hwang, Yeonjun, et al.
Published: (2026)

CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution
by: Cao, Maosong, et al.
Published: (2024)

Mozi: Governed Autonomy for Drug Discovery LLM Agents
by: Cao, He, et al.
Published: (2026)

MEDLEY-BENCH: Scale Buys Evaluation but Not Control in AI Metacognition
by: Abtahi, Farhad, et al.
Published: (2026)

IterQR: An Iterative Framework for LLM-based Query Rewrite in e-Commercial Search System
by: Chen, Shangyu, et al.
Published: (2025)

Redundancy Principles for MLLMs Benchmarks
by: Zhang, Zicheng, et al.
Published: (2025)

Efficient Test-Time Scaling via Self-Calibration
by: Huang, Chengsong, et al.
Published: (2025)

FM-Agent: Scaling Formal Methods to Large Systems via LLM-Based Hoare-Style Reasoning
by: Ding, Haoran, et al.
Published: (2026)

STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Models
by: Chen, Kai, et al.
Published: (2025)

DRAGON: LLM-Driven Decomposition and Reconstruction Agents for Large-Scale Combinatorial Optimization
by: Chen, Shengkai, et al.
Published: (2026)

Alignment Tipping Process: How Self-Evolution Pushes LLM Agents Off the Rails
by: Han, Siwei, et al.
Published: (2025)

SCoder: Iterative Self-Distillation for Bootstrapping Small-Scale Data Synthesizers to Empower Code LLMs
by: Zhang, Xinyu, et al.
Published: (2025)

Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement
by: Cao, Maosong, et al.
Published: (2025)

ComplexMCP: Evaluation of LLM Agents in Dynamic, Interdependent, and Large-Scale Tool Sandbox
by: Li, Yuanyang, et al.
Published: (2026)

Visual-ERM: Reward Modeling for Visual Equivalence
by: Liu, Ziyu, et al.
Published: (2026)

M-$LLM^3$REC: A Motivation-Aware User-Item Interaction Framework for Enhancing Recommendation Accuracy with LLMs
by: Chen, Lining, et al.
Published: (2025)

SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents
by: Lin, Jiaye, et al.
Published: (2025)

MIBench: Evaluating LMMs on Multimodal Interaction
by: Miao, Yu, et al.
Published: (2026)

EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
by: Liu, Jiaqi, et al.
Published: (2026)

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
by: Yuan, Siyu, et al.
Published: (2025)

DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
by: Hong, Junyuan, et al.
Published: (2023)

Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and Extraction
by: Huang, Yuxuan, et al.
Published: (2026)

S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity
by: Yang, Xinyu, et al.
Published: (2024)

FaithSteer-BENCH: A Deployment-Aligned Stress-Testing Benchmark for Inference-Time Steering
by: Ding, Zikang, et al.
Published: (2026)

Knots: A Large-Scale Multi-Agent Enhanced Expert-Annotated Dataset and LLM Prompt Optimization for NOTAM Semantic Parsing
by: Liu, Maoqi, et al.
Published: (2025)

Inference-Time Budget Control for LLM Search Agents
by: Fang, Zhengru, et al.
Published: (2026)

ConsintBench: Evaluating Language Models on Real-World Consumer Intent Understanding
by: Li, Xiaozhe, et al.
Published: (2025)