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performance degradation

31 papers

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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