PepSpecBench: A Unified Evaluation Benchmark for Peptide Tandem Mass Spectrometry Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Zhiwen, Liu, Pan, Li, Yifan, Zhong, Yunhua, Xia, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PepBenchmark: A Standardized Benchmark for Peptide Machine Learning
by: Zhang, Jiahui, et al.
Published: (2026)
by: Zhang, Jiahui, et al.
Published: (2026)
FlexMS is a flexible framework for benchmarking deep learning-based mass spectrum prediction tools in metabolomics
by: Zhong, Yunhua, et al.
Published: (2026)
by: Zhong, Yunhua, et al.
Published: (2026)
An Integrated Deep-Learning Framework for Peptide-Protein Interaction Prediction and Target-Conditioned Peptide Generation with ConGA-PepPI and TC-PepGen
by: Tang, Chupei, et al.
Published: (2026)
by: Tang, Chupei, et al.
Published: (2026)
DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction
by: Zheng, Jiangbin, et al.
Published: (2024)
by: Zheng, Jiangbin, et al.
Published: (2024)
PepEVOLVE: Position-Aware Dynamic Peptide Optimization via Group-Relative Advantage
by: Nguyen, Trieu, et al.
Published: (2025)
by: Nguyen, Trieu, et al.
Published: (2025)
Pep2Prob Benchmark: Predicting Fragment Ion Probability for MS$^2$-based Proteomics
by: Xu, Hao, et al.
Published: (2025)
by: Xu, Hao, et al.
Published: (2025)
PepThink-R1: LLM for Interpretable Cyclic Peptide Optimization with CoT SFT and Reinforcement Learning
by: Wang, Ruheng, et al.
Published: (2025)
by: Wang, Ruheng, et al.
Published: (2025)
CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and Optimization
by: Ge, Cheng, et al.
Published: (2025)
by: Ge, Cheng, et al.
Published: (2025)
PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding
by: Zhang, Ruochi, et al.
Published: (2024)
by: Zhang, Ruochi, et al.
Published: (2024)
MADGEN: Mass-Spec attends to De Novo Molecular generation
by: Wang, Yinkai, et al.
Published: (2025)
by: Wang, Yinkai, et al.
Published: (2025)
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
by: Ji, Jiaming, et al.
Published: (2023)
by: Ji, Jiaming, et al.
Published: (2023)
Does Unification Come at a Cost? Uni-SafeBench: A Safety Benchmark for Unified Multimodal Large Models
by: Peng, Zixiang, et al.
Published: (2026)
by: Peng, Zixiang, et al.
Published: (2026)
BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation
by: Kim, Eunsu, et al.
Published: (2025)
by: Kim, Eunsu, et al.
Published: (2025)
CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection
by: Zhong, Zhijie, et al.
Published: (2025)
by: Zhong, Zhijie, et al.
Published: (2025)
TSI-Bench: Benchmarking Time Series Imputation
by: Du, Wenjie, et al.
Published: (2024)
by: Du, Wenjie, et al.
Published: (2024)
TopBench: A Benchmark for Implicit Prediction and Reasoning over Tabular Question Answering
by: Ji, An-Yang, et al.
Published: (2026)
by: Ji, An-Yang, et al.
Published: (2026)
CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics
by: Wang, Weida, et al.
Published: (2025)
by: Wang, Weida, et al.
Published: (2025)
CityTrajBench: A Unified Benchmark for City-Scale Vehicle Trajectory Generation
by: Zhu, Shibo, et al.
Published: (2026)
by: Zhu, Shibo, et al.
Published: (2026)
TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks
by: Weng, Muyan, et al.
Published: (2026)
by: Weng, Muyan, et al.
Published: (2026)
BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms
by: Hou, Yunlong, et al.
Published: (2025)
by: Hou, Yunlong, et al.
Published: (2025)
FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion
by: Tang, Anke, et al.
Published: (2024)
by: Tang, Anke, et al.
Published: (2024)
UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches
by: Wang, Chao, et al.
Published: (2024)
by: Wang, Chao, et al.
Published: (2024)
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data
by: Anwar, Ahmed, et al.
Published: (2024)
by: Anwar, Ahmed, et al.
Published: (2024)
PeopleSearchBench: A Multi-Dimensional Benchmark for Evaluating AI-Powered People Search Platforms
by: Wang, Wei, et al.
Published: (2026)
by: Wang, Wei, et al.
Published: (2026)
ExtractBench: A Benchmark and Evaluation Methodology for Complex Structured Extraction
by: Ferguson, Nick, et al.
Published: (2026)
by: Ferguson, Nick, et al.
Published: (2026)
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)
AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability
by: Yang, Siwei, et al.
Published: (2024)
by: Yang, Siwei, et al.
Published: (2024)
DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime
by: Luo, Zhiyao, et al.
Published: (2024)
by: Luo, Zhiyao, et al.
Published: (2024)
Labels Matter More Than Models: Rethinking the Unsupervised Paradigm in Time Series Anomaly Detection
by: Zhong, Zhijie, et al.
Published: (2025)
by: Zhong, Zhijie, et al.
Published: (2025)
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
by: Ye, Jiasheng, et al.
Published: (2024)
by: Ye, Jiasheng, et al.
Published: (2024)
SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning
by: Pan, Rui, et al.
Published: (2025)
by: Pan, Rui, et al.
Published: (2025)
QuantSightBench: Evaluating LLM Quantitative Forecasting with Prediction Intervals
by: Qin, Jeremy, et al.
Published: (2026)
by: Qin, Jeremy, et al.
Published: (2026)
MirrorBench: A Benchmark to Evaluate Conversational User-Proxy Agents for Human-Likeness
by: Hathidara, Ashutosh, et al.
Published: (2026)
by: Hathidara, Ashutosh, et al.
Published: (2026)
PalmBench: A Comprehensive Benchmark of Compressed Large Language Models on Mobile Platforms
by: Li, Yilong, et al.
Published: (2024)
by: Li, Yilong, et al.
Published: (2024)
AudioCodecBench: A Comprehensive Benchmark for Audio Codec Evaluation
by: Wang, Lu, et al.
Published: (2025)
by: Wang, Lu, et al.
Published: (2025)
PolyBench: Benchmarking LLM Forecasting and Trading Capabilities on Live Prediction Market Data
by: Cheng, Pu, et al.
Published: (2026)
by: Cheng, Pu, et al.
Published: (2026)
Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis
by: Zhao, Jiaqi, et al.
Published: (2025)
by: Zhao, Jiaqi, et al.
Published: (2025)
Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline
by: Li, Shuhao, et al.
Published: (2024)
by: Li, Shuhao, et al.
Published: (2024)
PromptBench: A Unified Library for Evaluation of Large Language Models
by: Zhu, Kaijie, et al.
Published: (2023)
by: Zhu, Kaijie, et al.
Published: (2023)
BubbleSpec: Turning Long-Tail Bubbles into Speculative Rollout Drafts for Synchronous Reinforcement Learning
by: Xu, Yuhang, et al.
Published: (2026)
by: Xu, Yuhang, et al.
Published: (2026)
Similar Items
-
PepBenchmark: A Standardized Benchmark for Peptide Machine Learning
by: Zhang, Jiahui, et al.
Published: (2026) -
FlexMS is a flexible framework for benchmarking deep learning-based mass spectrum prediction tools in metabolomics
by: Zhong, Yunhua, et al.
Published: (2026) -
An Integrated Deep-Learning Framework for Peptide-Protein Interaction Prediction and Target-Conditioned Peptide Generation with ConGA-PepPI and TC-PepGen
by: Tang, Chupei, et al.
Published: (2026) -
DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction
by: Zheng, Jiangbin, et al.
Published: (2024) -
PepEVOLVE: Position-Aware Dynamic Peptide Optimization via Group-Relative Advantage
by: Nguyen, Trieu, et al.
Published: (2025)