conftrace_

data selection

221 papers

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Co-occurring keywords

domain adaptation (4595) neural machine translation (2310) large language model (13587) instruction tuning (838) language model (4599) transfer learning (5449) curriculum learning (633) active learning (1301) automatic speech recognition (1774) self-supervised learning (3777)

Papers

The Data Frontier for Large Language Models: Selection, Synthesis, and Tools ACL 2026
Importance-Aware Data Selection for Efficient LLM Instruction Tuning AAAI 2026
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection AAAI 2026
Influence-based Online Experience Selection for Effective RLHF ACL 2026
InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning ACL 2026
LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning AAAI 2026
Fair Bayesian Data Selection via Generalized Discrepancy Measures AAAI 2026
LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection AAAI 2026
What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective ACL 2026
Data Efficient RLVR via Off-Policy Influence Guidance ACL 2026
OASIS: Online Sample Selection for Continual Instruction Tuning ACL 2026
SimRPD: Optimizing Recruitment Proactive Dialogue Agents through Simulator-Based Data Evaluation and Selection ACL 2026
From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models ACL 2026
From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs AAAI 2026
GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection EACL 2026
Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection EACL 2026
TRACE: Trajectory-based Activation Change Estimation for Task-specific Data Selection AAAI 2026
Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness ICCV 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment EMNLP 2025
Navigating Towards Fairness with Data Selection AAAI 2025
On the Feasibility of In-Context Probing for Data Attribution NAACL 2025
Privacy Preserving Data Selection for Bias Mitigation in Speech Models ACL 2025
CritiQ: Mining Data Quality Criteria from Human Preferences ACL 2025
Reinforcement Learning-Guided Data Selection via Redundancy Assessment ICCV 2025
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review ACL 2025