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

Vygotsky Distance: Measure for Benchmark Task Similarity COLING 2024
Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance ACL 2024
Machine Unlearning via Null Space Calibration IJCAI 2024
On the Effect of Key Factors in Spurious Correlation: A theoretical Perspective AISTATS 2024
Rethinking Tabular Data Understanding with Large Language Models NAACL 2024
Revisiting the Impact of Pursuing Modularity for Code Generation EMNLP 2024
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian EMNLP 2024
Reasons and Solutions for the Decline in Model Performance after Editing NIPS 2024
Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance ACL 2024
How Good is a Single Basin? AISTATS 2024
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts ICML 2023
Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance EMNLP 2023
Coarse race data conceals disparities in clinical risk score performance MLHC 2023
CAME: Contrastive Automated Model Evaluation ICCV 2023
Are Emergent Abilities of Large Language Models a Mirage? NIPS 2023
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance EMNLP 2023
Revisiting Sample Size Determination in Natural Language Understanding ACL 2023
OpenDataVal: a Unified Benchmark for Data Valuation NIPS 2023
GlobalBench: A Benchmark for Global Progress in Natural Language Processing EMNLP 2023
A global analysis of metrics used for measuring performance in natural language processing ACL 2022
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning IJCAI 2022
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks EMNLP 2022
Meaning Representations for Natural Languages: Design, Models and Applications EMNLP 2022
A survey on improving NLP models with human explanations ACL 2022
Towards a Rigorous Evaluation of Time-Series Anomaly Detection AAAI 2022