conftrace_

data quality

130 papers

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Co-occurring keywords

large language model (13587) language model (4599) instruction tuning (838) text classification (6793) annotation quality (109) data curation (59) label noise (498) data filtering (99) data selection (221) language model pretraining (105)

Papers

Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models ACL 2024
Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models EMNLP 2024
Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs EMNLP 2024
Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic CVPR 2024
Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity EACL 2024
ParlaMint Widened: a European Dataset of Freedom of Information Act Documents (Position Paper) COLING 2024
A Pretrainer’s Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity NAACL 2024
Machine Unlearning: Challenges in Data Quality and Access IJCAI 2024
Variationist: Exploring Multifaceted Variation and Bias in Written Language Data ACL 2024
ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws EMNLP 2024
Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research EMNLP 2024
Scaling Parameter-Constrained Language Models with Quality Data EMNLP 2024
Reformatted Alignment EMNLP 2024
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs EMNLP 2024
LongWanjuan: Towards Systematic Measurement for Long Text Quality EMNLP 2024
Leveraging Web-Crawled Data for High-Quality Fine-Tuning EMNLP 2024
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models EMNLP 2024
CapsFusion: Rethinking Image-Text Data at Scale CVPR 2024
Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning NIPS 2024
MathPile: A Billion-Token-Scale Pretraining Corpus for Math NIPS 2024
Unveiling Imitation Learning: Exploring the impact of Data Falsity to Large Language Model ACL 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NIPS 2024
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data EMNLP 2024
Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards EMNLP 2024