Saved in:
| Main Author: | Inc, Xiaohongshu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.27882 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios
by: Chen, Junkai, et al.
Published: (2025)
by: Chen, Junkai, et al.
Published: (2025)
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
by: Lin, Bill Yuchen, et al.
Published: (2024)
by: Lin, Bill Yuchen, et al.
Published: (2024)
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
by: Sun, Weiwei, et al.
Published: (2025)
by: Sun, Weiwei, et al.
Published: (2025)
LongGenBench: Long-context Generation Benchmark
by: Liu, Xiang, et al.
Published: (2024)
by: Liu, Xiang, et al.
Published: (2024)
From Reactive to Proactive: Assessing the Proactivity of Voice Agents via ProVoice-Bench
by: Xu, Ke, et al.
Published: (2026)
by: Xu, Ke, et al.
Published: (2026)
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search
by: Li, Huihan, et al.
Published: (2023)
by: Li, Huihan, et al.
Published: (2023)
AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies
by: Ye, Xiao, et al.
Published: (2024)
by: Ye, Xiao, et al.
Published: (2024)
Controlling Logical Collapse in LLMs via Algebraic Ontology Projection over F2
by: Miyashita, Hisashi, et al.
Published: (2026)
by: Miyashita, Hisashi, et al.
Published: (2026)
CocoaBench: Evaluating Unified Digital Agents in the Wild
by: CocoaBench Team, et al.
Published: (2026)
by: CocoaBench Team, et al.
Published: (2026)
PrefDisco: Benchmarking Proactive Personalized Reasoning
by: Li, Shuyue Stella, et al.
Published: (2025)
by: Li, Shuyue Stella, et al.
Published: (2025)
ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation
by: Sun, Siqi, et al.
Published: (2026)
by: Sun, Siqi, et al.
Published: (2026)
Benchmarking Deep Search over Heterogeneous Enterprise Data
by: Choubey, Prafulla Kumar, et al.
Published: (2025)
by: Choubey, Prafulla Kumar, et al.
Published: (2025)
LongBench Pro: A More Realistic and Comprehensive Bilingual Long-Context Evaluation Benchmark
by: Chen, Ziyang, et al.
Published: (2026)
by: Chen, Ziyang, et al.
Published: (2026)
$\texttt{YC-Bench}$: Benchmarking AI Agents for Long-Term Planning and Consistent Execution
by: He, Muyu, et al.
Published: (2026)
by: He, Muyu, et al.
Published: (2026)
StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns
by: Wan, Luanbo, et al.
Published: (2025)
by: Wan, Luanbo, et al.
Published: (2025)
ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild
by: Yang, Bufang, et al.
Published: (2025)
by: Yang, Bufang, et al.
Published: (2025)
Vibe Code Bench: Evaluating AI Models on End-to-End Web Application Development
by: Tran, Hung, et al.
Published: (2026)
by: Tran, Hung, et al.
Published: (2026)
Bridging the Gap: From Ad-hoc to Proactive Search in Conversations
by: Meng, Chuan, et al.
Published: (2025)
by: Meng, Chuan, et al.
Published: (2025)
AgentSearchBench: A Benchmark for AI Agent Search in the Wild
by: Wu, Bin, et al.
Published: (2026)
by: Wu, Bin, et al.
Published: (2026)
JMMMU-Pro: Image-based Japanese Multi-discipline Multimodal Understanding Benchmark via Vibe Benchmark Construction
by: Miyai, Atsuyuki, et al.
Published: (2025)
by: Miyai, Atsuyuki, et al.
Published: (2025)
Mapping Overlaps in Benchmarks through Perplexity in the Wild
by: Wu, Siyang, et al.
Published: (2025)
by: Wu, Siyang, et al.
Published: (2025)
VehicleMemBench: An Executable Benchmark for Multi-User Long-Term Memory in In-Vehicle Agents
by: Chen, Yuhao, et al.
Published: (2026)
by: Chen, Yuhao, 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)
MileBench: Benchmarking MLLMs in Long Context
by: Song, Dingjie, et al.
Published: (2024)
by: Song, Dingjie, et al.
Published: (2024)
KLong: Training LLM Agent for Extremely Long-horizon Tasks
by: Liu, Yue, et al.
Published: (2026)
by: Liu, Yue, et al.
Published: (2026)
ACON: Optimizing Context Compression for Long-horizon LLM Agents
by: Kang, Minki, et al.
Published: (2025)
by: Kang, Minki, et al.
Published: (2025)
100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?
by: Yang, Wang, et al.
Published: (2025)
by: Yang, Wang, et al.
Published: (2025)
Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
by: Zeng, Jiayi, et al.
Published: (2025)
by: Zeng, Jiayi, et al.
Published: (2025)
Towards Long-horizon Agentic Multimodal Search
by: Du, Yifan, et al.
Published: (2026)
by: Du, Yifan, et al.
Published: (2026)
Long-term Task-oriented Agent: Proactive Long-term Intent Maintenance in Dynamic Environments
by: Shi, Qinglong, et al.
Published: (2026)
by: Shi, Qinglong, et al.
Published: (2026)
REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents
by: Chu, Zheng, et al.
Published: (2026)
by: Chu, Zheng, et al.
Published: (2026)
MemoryRewardBench: Benchmarking Reward Models for Long-Term Memory Management in Large Language Models
by: Tang, Zecheng, et al.
Published: (2026)
by: Tang, Zecheng, et al.
Published: (2026)
VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models
by: Dunlap, Lisa, et al.
Published: (2024)
by: Dunlap, Lisa, et al.
Published: (2024)
Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving
by: Gao, Songyang, et al.
Published: (2025)
by: Gao, Songyang, et al.
Published: (2025)
Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty
by: Wu, Peilin, et al.
Published: (2025)
by: Wu, Peilin, et al.
Published: (2025)
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
by: Chen, Mingyang, et al.
Published: (2025)
by: Chen, Mingyang, et al.
Published: (2025)
Benchmarking LLM Tool-Use in the Wild
by: Yu, Peijie, et al.
Published: (2026)
by: Yu, Peijie, et al.
Published: (2026)
ELITR-Bench: A Meeting Assistant Benchmark for Long-Context Language Models
by: Thonet, Thibaut, et al.
Published: (2024)
by: Thonet, Thibaut, et al.
Published: (2024)
VibeVoice Technical Report
by: Peng, Zhiliang, et al.
Published: (2025)
by: Peng, Zhiliang, et al.
Published: (2025)
LitSearch: A Retrieval Benchmark for Scientific Literature Search
by: Ajith, Anirudh, et al.
Published: (2024)
by: Ajith, Anirudh, et al.
Published: (2024)
Similar Items
-
SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios
by: Chen, Junkai, et al.
Published: (2025) -
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
by: Lin, Bill Yuchen, et al.
Published: (2024) -
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
by: Sun, Weiwei, et al.
Published: (2025) -
LongGenBench: Long-context Generation Benchmark
by: Liu, Xiang, et al.
Published: (2024) -
From Reactive to Proactive: Assessing the Proactivity of Voice Agents via ProVoice-Bench
by: Xu, Ke, et al.
Published: (2026)