conftrace_

model performance

59 papers

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Co-occurring keywords

large language model (13587) benchmark evaluation (1556) language model (4599) data quality (130) performance prediction (72) nlp benchmark (18) annotation quality (109) scaling law (120) distribution shift (722) prompt engineering (1135)

Papers

Garbage In, Reasoning Out? Why Benchmark Scores are Unreliable and What to Do About It EACL 2026
Autonomous Concept Drift Threshold Determination AAAI 2026
Breaking the Illusion of Reasoning in Polish LLMs: Quality over Quantity of Thought EACL 2026
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark ACL 2025
Federated Learning at the Forefront of Fairness: A Multifaceted Perspective IJCAI 2025
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies ACL 2025
Triangulating LLM Progress through Benchmarks, Games, and Cognitive Tests EMNLP 2025
Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability ACL 2025
More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives ACL 2025
Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation ACL 2025
Improving Continual Pre-training Through Seamless Data Packing ACL 2025
Understanding LLM Development Through Longitudinal Study: Insights from the Open Ko-LLM Leaderboard NAACL 2025
Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language Models COLING 2025
One Size Fits None: Rethinking Fairness in Medical AI ACL 2025
Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check EMNLP 2025
A Proactive Reliability Metric for Detecting Failures in Language Model Training EMNLP 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
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance EMNLP 2025
Leveraging External Knowledge Bases: Analyzing Presentation Methods and Their Impact on Model Performance NAACL 2025
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference EMNLP 2025
NeuroReset : LLM Unlearning via Dual Phase Mixed Methodology SEMEVAL 2025
LNE-Blocking: An Efficient Framework for Contamination Mitigation Evaluation on Large Language Models EMNLP 2025
RealBench: A Chinese Multi-image Understanding Benchmark Close to Real-world Scenarios EMNLP 2025
On the Effect of Key Factors in Spurious Correlation: A theoretical Perspective AISTATS 2024