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Papers
MAPS: A Multilingual Benchmark for Agent Performance and Security
EACL 2026
Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance
ACL 2026
Understanding LLM Performance Degradation in Multi-Instance Processing: The Roles of Instance Count and Context Length
ACL 2026
CAMH: Advancing Model Hijacking Attack in Machine Learning
AAAI 2025
Context Length Alone Hurts LLM Performance Despite Perfect Retrieval
EMNLP 2025
Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon
EMNLP 2025
Going Beyond Static: Understanding Shifts with Time-Series Attribution
ICLR 2025
HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging
EMNLP 2025
Predictive Red Teaming: Breaking Policies Without Breaking Robots
CoRL 2025
reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs
EMNLP 2025
The Impact of Image Resolution on Biomedical Multimodal Large Language Models
MLHC 2025
Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization
EMNLP 2024
Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance.
EMNLP 2024
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
EMNLP 2024
LongGenBench: Long-context Generation Benchmark
EMNLP 2024
On the Worst Prompt Performance of Large Language Models
NeurIPS 2024
Reasons and Solutions for the Decline in Model Performance after Editing
NeurIPS 2024
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
ACL 2024
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
NeurIPS 2024
TAIL: A Toolkit for Automatic and Realistic Long-Context Large Language Model Evaluation
EMNLP 2024
Deep Safe Multi-View Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase
CVPR 2022
E-NER — An Annotated Named Entity Recognition Corpus of Legal Text
EMNLP 2022
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models
NeurIPS 2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal
AAAI 2022
Semantic Shift Stability: Efficient Way to Detect Performance Degradation of Word Embeddings and Pre-trained Language Models
AACL 2022