conftrace_

performance degradation

28 papers

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PD

Co-occurring keywords

large language model (13587) language model (4599) benchmark evaluation (1556) context length (48) word embedding (1764) semantic shift (65) adversarial attack (1621) performance evaluation (53) distribution shift (722) prompt engineering (1135)

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
Context Length Alone Hurts LLM Performance Despite Perfect Retrieval EMNLP 2025
reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs EMNLP 2025
HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging EMNLP 2025
CAMH: Advancing Model Hijacking Attack in Machine Learning AAAI 2025
Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon EMNLP 2025
TAIL: A Toolkit for Automatic and Realistic Long-Context Large Language Model Evaluation EMNLP 2024
On the Worst Prompt Performance of Large Language Models NIPS 2024
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History EMNLP 2024
Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization EMNLP 2024
Reasons and Solutions for the Decline in Model Performance after Editing NIPS 2024
LongGenBench: Long-context Generation Benchmark EMNLP 2024
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments NIPS 2024
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models ACL 2024
Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance. EMNLP 2024
Semantic Shift Stability: Efficient Way to Detect Performance Degradation of Word Embeddings and Pre-trained Language Models IJCNLP 2022
Deep Safe Multi-View Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase CVPR 2022
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models NIPS 2022
Semantic Shift Stability: Efficient Way to Detect Performance Degradation of Word Embeddings and Pre-trained Language Models AACL 2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal AAAI 2022
E-NER — An Annotated Named Entity Recognition Corpus of Legal Text EMNLP 2022
Ground-Truth or DAER: Selective Re-Query of Secondary Information ICCV 2021
Robust Speaker Extraction Network Based on Iterative Refined Adaptation INTERSPEECH 2021