BenchAgents: Multi-Agent Systems for Structured Benchmark Creation
Fuente:
arXiv
Saved in:
| Main Authors: | Butt, Natasha, Chandrasekaran, Varun, Joshi, Neel, Nushi, Besmira, Balachandran, Vidhisha |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
by: Adiga, Rishabh, et al.
Published: (2024)
by: Adiga, Rishabh, et al.
Published: (2024)
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation
by: Joshi, Siddharth, et al.
Published: (2025)
by: Joshi, Siddharth, et al.
Published: (2025)
Improving Instruction-Following in Language Models through Activation Steering
by: Stolfo, Alessandro, et al.
Published: (2024)
by: Stolfo, Alessandro, et al.
Published: (2024)
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models
by: Moayeri, Mazda, et al.
Published: (2024)
by: Moayeri, Mazda, et al.
Published: (2024)
Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness
by: Shayegani, Erfan, et al.
Published: (2025)
by: Shayegani, Erfan, et al.
Published: (2025)
Eureka: Evaluating and Understanding Large Foundation Models
by: Balachandran, Vidhisha, et al.
Published: (2024)
by: Balachandran, Vidhisha, et al.
Published: (2024)
Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead
by: Balachandran, Vidhisha, et al.
Published: (2025)
by: Balachandran, Vidhisha, et al.
Published: (2025)
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
by: Yuksekgonul, Mert, et al.
Published: (2023)
by: Yuksekgonul, Mert, et al.
Published: (2023)
Diversity of Thought Improves Reasoning Abilities of LLMs
by: Naik, Ranjita, et al.
Published: (2023)
by: Naik, Ranjita, et al.
Published: (2023)
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
by: Bordt, Sebastian, et al.
Published: (2024)
by: Bordt, Sebastian, et al.
Published: (2024)
Bench to the Future: A Pastcasting Benchmark for Forecasting Agents
by: FutureSearch, et al.
Published: (2025)
by: FutureSearch, et al.
Published: (2025)
DataSciBench: An LLM Agent Benchmark for Data Science
by: Zhang, Dan, et al.
Published: (2025)
by: Zhang, Dan, et al.
Published: (2025)
AgentBench: Evaluating LLMs as Agents
by: Liu, Xiao, et al.
Published: (2023)
by: Liu, Xiao, et al.
Published: (2023)
Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning
by: Vilas, Martina G., et al.
Published: (2025)
by: Vilas, Martina G., et al.
Published: (2025)
VeRO: An Evaluation Harness for Agents to Optimize Agents
by: Ursekar, Varun, et al.
Published: (2026)
by: Ursekar, Varun, et al.
Published: (2026)
EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective
by: Wang, Yuyao, et al.
Published: (2026)
by: Wang, Yuyao, et al.
Published: (2026)
LiveClawBench: Benchmarking LLM Agents on Complex, Real-World Assistant Tasks
by: Long, Xiang, et al.
Published: (2026)
by: Long, Xiang, et al.
Published: (2026)
AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
by: Lù, Xing Han, et al.
Published: (2025)
by: Lù, Xing Han, et al.
Published: (2025)
Recursive Multi-Agent Systems
by: Yang, Xiyuan, et al.
Published: (2026)
by: Yang, Xiyuan, et al.
Published: (2026)
AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators
by: Mazumder, Aritra, et al.
Published: (2026)
by: Mazumder, Aritra, et al.
Published: (2026)
Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks
by: Wang, Jianghui, et al.
Published: (2025)
by: Wang, Jianghui, et al.
Published: (2025)
Latent Collaboration in Multi-Agent Systems
by: Zou, Jiaru, et al.
Published: (2025)
by: Zou, Jiaru, et al.
Published: (2025)
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
by: Chen, Ziru, et al.
Published: (2024)
by: Chen, Ziru, et al.
Published: (2024)
MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools
by: Guo, Zikang, et al.
Published: (2025)
by: Guo, Zikang, et al.
Published: (2025)
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization
by: Ji, Haonian, et al.
Published: (2025)
by: Ji, Haonian, et al.
Published: (2025)
IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems
by: Levi, Elad, et al.
Published: (2025)
by: Levi, Elad, et al.
Published: (2025)
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
by: Andriushchenko, Maksym, et al.
Published: (2024)
by: Andriushchenko, Maksym, et al.
Published: (2024)
RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code
by: Gautam, Dhruv, et al.
Published: (2025)
by: Gautam, Dhruv, et al.
Published: (2025)
VoiceAgentBench: Are Voice Assistants ready for agentic tasks?
by: Jain, Dhruv, et al.
Published: (2025)
by: Jain, Dhruv, et al.
Published: (2025)
UserBench: An Interactive Gym Environment for User-Centric Agents
by: Qian, Cheng, et al.
Published: (2025)
by: Qian, Cheng, et al.
Published: (2025)
LiveBench: A Challenging, Contamination-Limited LLM Benchmark
by: White, Colin, et al.
Published: (2024)
by: White, Colin, et al.
Published: (2024)
AI Knowledge Assist: An Automated Approach for the Creation of Knowledge Bases for Conversational AI Agents
by: Laskar, Md Tahmid Rahman, et al.
Published: (2025)
by: Laskar, Md Tahmid Rahman, et al.
Published: (2025)
Workspace-Bench 1.0: Benchmarking AI Agents on Workspace Tasks with Large-Scale File Dependencies
by: Tang, Zirui, et al.
Published: (2026)
by: Tang, Zirui, et al.
Published: (2026)
Soft Tokens, Hard Truths
by: Butt, Natasha, et al.
Published: (2025)
by: Butt, Natasha, et al.
Published: (2025)
ProcBench: Benchmark for Multi-Step Reasoning and Following Procedure
by: Fujisawa, Ippei, et al.
Published: (2024)
by: Fujisawa, Ippei, et al.
Published: (2024)
EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents
by: Qian, Cheng, et al.
Published: (2024)
by: Qian, Cheng, et al.
Published: (2024)
AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents
by: Younesian, Sharareh, et al.
Published: (2026)
by: Younesian, Sharareh, et al.
Published: (2026)
MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision
by: Ke, Zixuan, et al.
Published: (2025)
by: Ke, Zixuan, et al.
Published: (2025)
MASEval: Extending Multi-Agent Evaluation from Models to Systems
by: Emde, Cornelius, et al.
Published: (2026)
by: Emde, Cornelius, et al.
Published: (2026)
\$OneMillion-Bench: How Far are Language Agents from Human Experts?
by: Yang, Qianyu, et al.
Published: (2026)
by: Yang, Qianyu, et al.
Published: (2026)
Similar Items
-
Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
by: Adiga, Rishabh, et al.
Published: (2024) -
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation
by: Joshi, Siddharth, et al.
Published: (2025) -
Improving Instruction-Following in Language Models through Activation Steering
by: Stolfo, Alessandro, et al.
Published: (2024) -
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models
by: Moayeri, Mazda, et al.
Published: (2024) -
Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness
by: Shayegani, Erfan, et al.
Published: (2025)