Saved in:
| Main Authors: | Huang, Benhao, Yu, Yingzhuo, Huang, Jin, Zhang, Xingjian, Ma, Jiaqi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.07275 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AAPMT: AGI Assessment Through Prompt and Metric Transformer
by: Huang, Benhao
Published: (2024)
by: Huang, Benhao
Published: (2024)
Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?
by: Huang, Jin, et al.
Published: (2023)
by: Huang, Jin, et al.
Published: (2023)
FlyAOC: Evaluating Agentic Ontology Curation of Drosophila Scientific Knowledge Bases
by: Zhang, Xingjian, et al.
Published: (2026)
by: Zhang, Xingjian, et al.
Published: (2026)
Bench-CoE: a Framework for Collaboration of Experts from Benchmark
by: Wang, Yuanshuai, et al.
Published: (2024)
by: Wang, Yuanshuai, et al.
Published: (2024)
RL-MSA: a Reinforcement Learning-based Multi-line bus Scheduling Approach
by: Liu, Yingzhuo
Published: (2024)
by: Liu, Yingzhuo
Published: (2024)
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows
by: Zhang, Xingjian, et al.
Published: (2024)
by: Zhang, Xingjian, et al.
Published: (2024)
BenchTrace: A Benchmark for Testing Reflection Ability and Controlled Evolution in LLM Agents
by: Huang, Jiahao, et al.
Published: (2026)
by: Huang, Jiahao, et al.
Published: (2026)
Saving SWE-Bench: A Benchmark Mutation Approach for Realistic Agent Evaluation
by: Garg, Spandan, et al.
Published: (2025)
by: Garg, Spandan, et al.
Published: (2025)
Defining and Extracting generalizable interaction primitives from DNNs
by: Chen, Lu, et al.
Published: (2024)
by: Chen, Lu, et al.
Published: (2024)
Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
by: Zhang, Hanrong, et al.
Published: (2024)
by: Zhang, Hanrong, et al.
Published: (2024)
SoundnessBench: A Soundness Benchmark for Neural Network Verifiers
by: Zhou, Xingjian, et al.
Published: (2024)
by: Zhou, Xingjian, et al.
Published: (2024)
FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing
by: Zhao, Haodong, et al.
Published: (2025)
by: Zhao, Haodong, et al.
Published: (2025)
Agent-ValueBench: A Comprehensive Benchmark for Evaluating Agent Values
by: Dong, Haonan, et al.
Published: (2026)
by: Dong, Haonan, et al.
Published: (2026)
AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
by: Shang, Yu, et al.
Published: (2025)
by: Shang, Yu, et al.
Published: (2025)
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
by: Qin, Jiawen, et al.
Published: (2024)
by: Qin, Jiawen, et al.
Published: (2024)
SGR-Bench: Benchmarking Search Agents on State-Gated Retrieval
by: Li, Ningyuan, et al.
Published: (2026)
by: Li, Ningyuan, et al.
Published: (2026)
GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmented Agents in Spatial Analysis
by: Yu, Bo, et al.
Published: (2026)
by: Yu, Bo, et al.
Published: (2026)
BenchGuard: Who Guards the Benchmarks? Automated Auditing of LLM Agent Benchmarks
by: Tu, Xinming, et al.
Published: (2026)
by: Tu, Xinming, et al.
Published: (2026)
Communication and Verification in LLM Agents towards Collaboration under Information Asymmetry
by: Peng, Run, et al.
Published: (2025)
by: Peng, Run, et al.
Published: (2025)
MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents
by: Zhao, Pengxiang, et al.
Published: (2025)
by: Zhao, Pengxiang, et al.
Published: (2025)
RelBench: A Benchmark for Deep Learning on Relational Databases
by: Robinson, Joshua, et al.
Published: (2024)
by: Robinson, Joshua, et al.
Published: (2024)
SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents
by: Yin, Sheng, et al.
Published: (2024)
by: Yin, Sheng, et al.
Published: (2024)
WritingBench: A Comprehensive Benchmark for Generative Writing
by: Wu, Yuning, et al.
Published: (2025)
by: Wu, Yuning, et al.
Published: (2025)
ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines
by: Jin, Tengjun, et al.
Published: (2025)
by: Jin, Tengjun, et al.
Published: (2025)
GUI-360$^\circ$: A Comprehensive Dataset and Benchmark for Computer-Using Agents
by: Mu, Jian, et al.
Published: (2025)
by: Mu, Jian, et al.
Published: (2025)
AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
by: Xiong, Lei, et al.
Published: (2026)
by: Xiong, Lei, et al.
Published: (2026)
ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks
by: Song, Yuanyi, et al.
Published: (2025)
by: Song, Yuanyi, et al.
Published: (2025)
FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering
by: Choi, Chanyeol, et al.
Published: (2025)
by: Choi, Chanyeol, et al.
Published: (2025)
WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting
by: Styles, Olly, et al.
Published: (2024)
by: Styles, Olly, et al.
Published: (2024)
Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments
by: Lillemark, Hansen Jin, et al.
Published: (2026)
by: Lillemark, Hansen Jin, et al.
Published: (2026)
ELT-Bench-Verified: Benchmark Quality Issues Underestimate AI Agent Capabilities
by: Zanoli, Christopher, et al.
Published: (2026)
by: Zanoli, Christopher, et al.
Published: (2026)
ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents
by: Shen, Haiyang, et al.
Published: (2024)
by: Shen, Haiyang, et al.
Published: (2024)
Escaping the Context Bottleneck: Active Context Curation for LLM Agents via Reinforcement Learning
by: Li, Xiaozhe, et al.
Published: (2026)
by: Li, Xiaozhe, et al.
Published: (2026)
MedConsultBench: A Full-Cycle, Fine-Grained, Process-Aware Benchmark for Medical Consultation Agents
by: Qiao, Chuhan, et al.
Published: (2026)
by: Qiao, Chuhan, et al.
Published: (2026)
PSPA-Bench: A Personalized Benchmark for Smartphone GUI Agent
by: Nie, Hongyi, et al.
Published: (2026)
by: Nie, Hongyi, et al.
Published: (2026)
AgentSearchBench: A Benchmark for AI Agent Search in the Wild
by: Wu, Bin, et al.
Published: (2026)
by: Wu, Bin, et al.
Published: (2026)
SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation
by: He, Yibo, et al.
Published: (2025)
by: He, Yibo, et al.
Published: (2025)
BenchPress: A Human-in-the-Loop Annotation System for Rapid Text-to-SQL Benchmark Curation
by: Wenz, Fabian, et al.
Published: (2025)
by: Wenz, Fabian, et al.
Published: (2025)
Group then Scale: Dynamic Mixture-of-Experts Multilingual Language Model
by: Li, Chong, et al.
Published: (2025)
by: Li, Chong, et al.
Published: (2025)
AgentBench: Evaluating LLMs as Agents
by: Liu, Xiao, et al.
Published: (2023)
by: Liu, Xiao, et al.
Published: (2023)
Similar Items
-
AAPMT: AGI Assessment Through Prompt and Metric Transformer
by: Huang, Benhao
Published: (2024) -
Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?
by: Huang, Jin, et al.
Published: (2023) -
FlyAOC: Evaluating Agentic Ontology Curation of Drosophila Scientific Knowledge Bases
by: Zhang, Xingjian, et al.
Published: (2026) -
Bench-CoE: a Framework for Collaboration of Experts from Benchmark
by: Wang, Yuanshuai, et al.
Published: (2024) -
RL-MSA: a Reinforcement Learning-based Multi-line bus Scheduling Approach
by: Liu, Yingzhuo
Published: (2024)