model performance

Autonomous Concept Drift Threshold Determination AAAI 2026 Breaking the Illusion of Reasoning in Polish LLMs: Quality over Quantity of Thought EACL 2026 Garbage In, Reasoning Out? Why Benchmark Scores are Unreliable and What to Do About It EACL 2026 A new framework for evaluating model out-of-distribution generalisation for the biochemical domain ICLR 2025 A Proactive Reliability Metric for Detecting Failures in Language Model Training EMNLP 2025 Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance EMNLP 2025 Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language Models COLING 2025 Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation ACL 2025 Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference EMNLP 2025 Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization ICML 2025 Enhancing Prediction Performance through Influence Measure ICLR 2025 Federated Learning at the Forefront of Fairness: A Multifaceted Perspective IJCAI 2025 Improving Continual Pre-training Through Seamless Data Packing ACL 2025 Law of the Weakest Link: Cross Capabilities of Large Language Models ICLR 2025 Leveraging External Knowledge Bases: Analyzing Presentation Methods and Their Impact on Model Performance NAACL 2025 LNE-Blocking: An Efficient Framework for Contamination Mitigation Evaluation on Large Language Models EMNLP 2025 MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark ACL 2025 More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives ACL 2025 NeuroReset : LLM Unlearning via Dual Phase Mixed Methodology SemEval 2025 One Size Fits None: Rethinking Fairness in Medical AI ACL 2025 Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models ICML 2025 Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles EMNLP 2025 RAP: A Metric for Balancing Repetition and Performance in Open-Source Large Language Models NAACL 2025 Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability ACL 2025 RealBench: A Chinese Multi-image Understanding Benchmark Close to Real-world Scenarios EMNLP 2025