SysBench: Can Large Language Models Follow System Messages?
Fuente:
arXiv
Saved in:
| Main Authors: | Qin, Yanzhao, Zhang, Tao, Shen, Yanjun, Luo, Wenjing, Sun, Haoze, Zhang, Yan, Qiao, Yujing, Chen, Weipeng, Zhou, Zenan, Zhang, Wentao, Cui, Bin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
by: Zhang, Tao, et al.
Published: (2024)
by: Zhang, Tao, et al.
Published: (2024)
S2SBench: A Benchmark for Quantifying Intelligence Degradation in Speech-to-Speech Large Language Models
by: Fang, Yuanbo, et al.
Published: (2025)
by: Fang, Yuanbo, et al.
Published: (2025)
PAS: Data-Efficient Plug-and-Play Prompt Augmentation System
by: Zheng, Miao, et al.
Published: (2024)
by: Zheng, Miao, et al.
Published: (2024)
FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback
by: Li, Youquan, et al.
Published: (2024)
by: Li, Youquan, et al.
Published: (2024)
RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models
by: Yan, Jianhao, et al.
Published: (2024)
by: Yan, Jianhao, et al.
Published: (2024)
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning
by: Chen, Mingyang, et al.
Published: (2024)
by: Chen, Mingyang, et al.
Published: (2024)
Uncertainty Modeling for SysML v2
by: Zhang, Man, et al.
Published: (2026)
by: Zhang, Man, et al.
Published: (2026)
Baichuan Alignment Technical Report
by: Lin, Mingan, et al.
Published: (2024)
by: Lin, Mingan, et al.
Published: (2024)
Data Proportion Detection for Optimized Data Management for Large Language Models
by: Liang, Hao, et al.
Published: (2024)
by: Liang, Hao, et al.
Published: (2024)
BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline
by: Dong, Guosheng, et al.
Published: (2024)
by: Dong, Guosheng, et al.
Published: (2024)
SAS-Bench: A Fine-Grained Benchmark for Evaluating Short Answer Scoring with Large Language Models
by: Lai, Peichao, et al.
Published: (2025)
by: Lai, Peichao, et al.
Published: (2025)
Paper2SysArch: Structure-Constrained System Architecture Generation from Scientific Papers
by: Guo, Ziyi, et al.
Published: (2025)
by: Guo, Ziyi, et al.
Published: (2025)
When Emotional Stimuli meet Prompt Designing: An Auto-Prompt Graphical Paradigm
by: Ma, Chenggian, et al.
Published: (2024)
by: Ma, Chenggian, et al.
Published: (2024)
Less Is More -- Until It Breaks: Security Pitfalls of Vision Token Compression in Large Vision-Language Models
by: Zhang, Xiaomei, et al.
Published: (2026)
by: Zhang, Xiaomei, et al.
Published: (2026)
DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective Partitioning
by: Lu, Keer, et al.
Published: (2024)
by: Lu, Keer, et al.
Published: (2024)
CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation
by: Wang, Peiding, et al.
Published: (2025)
by: Wang, Peiding, et al.
Published: (2025)
SonicBench: Dissecting the Physical Perception Bottleneck in Large Audio Language Models
by: Sun, Yirong, et al.
Published: (2026)
by: Sun, Yirong, et al.
Published: (2026)
Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training
by: Xu, Minghao, et al.
Published: (2025)
by: Xu, Minghao, et al.
Published: (2025)
Revisiting the Reliability of Language Models in Instruction-Following
by: Dong, Jianshuo, et al.
Published: (2025)
by: Dong, Jianshuo, et al.
Published: (2025)
A Two-Stage Adaptation of Large Language Models for Text Ranking
by: Zhang, Longhui, et al.
Published: (2023)
by: Zhang, Longhui, et al.
Published: (2023)
DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?
by: Gu, Zhouhong, et al.
Published: (2024)
by: Gu, Zhouhong, et al.
Published: (2024)
LLM-Assisted Semantic Alignment and Integration in Collaborative Model-Based Systems Engineering Using SysML v2
by: Li, Zirui, et al.
Published: (2025)
by: Li, Zirui, et al.
Published: (2025)
Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?
by: Zhang, Yanjian, et al.
Published: (2025)
by: Zhang, Yanjian, et al.
Published: (2025)
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models
by: LI, Yizhi, et al.
Published: (2024)
by: LI, Yizhi, et al.
Published: (2024)
Fundamental Limits of Pulse Based UWB ISAC Systems: A Parameter Estimation Perspective
by: Liu, Fan, et al.
Published: (2024)
by: Liu, Fan, et al.
Published: (2024)
Optimization of Private Semantic Communication Performance: An Uncooperative Covert Communication Method
by: Zhang, Wenjing, et al.
Published: (2025)
by: Zhang, Wenjing, et al.
Published: (2025)
EchoBench: Benchmarking Sycophancy in Medical Large Vision-Language Models
by: Yuan, Botai, et al.
Published: (2025)
by: Yuan, Botai, et al.
Published: (2025)
EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models
by: Zou, Tao, et al.
Published: (2025)
by: Zou, Tao, et al.
Published: (2025)
The First Prompt Counts the Most! An Evaluation of Large Language Models on Iterative Example-Based Code Generation
by: Fu, Yingjie, et al.
Published: (2024)
by: Fu, Yingjie, et al.
Published: (2024)
Ocean-OCR: Towards General OCR Application via a Vision-Language Model
by: Chen, Song, et al.
Published: (2025)
by: Chen, Song, et al.
Published: (2025)
Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?
by: Hu, Yutong, et al.
Published: (2024)
by: Hu, Yutong, et al.
Published: (2024)
TextReasoningBench: Does Reasoning Really Improve Text Classification in Large Language Models?
by: Guo, Xinyu, et al.
Published: (2026)
by: Guo, Xinyu, et al.
Published: (2026)
ERGeoBench:A Comprehensive Benchmark for Embodied Reasoning and Geo-localization in Multimodal Large Language Models
by: Xue, Kaiwen, et al.
Published: (2026)
by: Xue, Kaiwen, et al.
Published: (2026)
Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models
by: Zeng, Bo, et al.
Published: (2025)
by: Zeng, Bo, et al.
Published: (2025)
Text2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL
by: Cai, Qifeng, et al.
Published: (2025)
by: Cai, Qifeng, et al.
Published: (2025)
SysTradeBench: An Iterative Build-Test-Patch Benchmark for Strategy-to-Code Trading Systems with Drift-Aware Diagnostics
by: Cao, Yuchen, et al.
Published: (2026)
by: Cao, Yuchen, et al.
Published: (2026)
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
by: Yang, Ling, et al.
Published: (2024)
by: Yang, Ling, et al.
Published: (2024)
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language Models
by: Liu, Shuo, et al.
Published: (2024)
by: Liu, Shuo, et al.
Published: (2024)
EDU-MATRIX: A Society-Centric Generative Cognitive Digital Twin Architecture for Secondary Education
by: Zhai, Wenjing, et al.
Published: (2026)
by: Zhai, Wenjing, et al.
Published: (2026)
Automatic Semantic Alignment of Flow Pattern Representations for Exploration with Large Language Models
by: Zhang, Weihan, et al.
Published: (2025)
by: Zhang, Weihan, et al.
Published: (2025)
Similar Items
-
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
by: Zhang, Tao, et al.
Published: (2024) -
S2SBench: A Benchmark for Quantifying Intelligence Degradation in Speech-to-Speech Large Language Models
by: Fang, Yuanbo, et al.
Published: (2025) -
PAS: Data-Efficient Plug-and-Play Prompt Augmentation System
by: Zheng, Miao, et al.
Published: (2024) -
FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback
by: Li, Youquan, et al.
Published: (2024) -
RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models
by: Yan, Jianhao, et al.
Published: (2024)