conftrace_

data selection

250 papers

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Co-occurring keywords · papers mentioning both

domain adaptation (43) large language model (42) neural machine translation (38) instruction tuning (28) language model (26) transfer learning (23) active learning (20) curriculum learning (18) automatic speech recognition (12) self-supervised learning (11)

Papers

CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection CVPR 2026 Data Efficient RLVR via Off-Policy Influence Guidance ACL 2026 Fair Bayesian Data Selection via Generalized Discrepancy Measures AAAI 2026 From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs AAAI 2026 From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models ACL 2026 GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection EACL 2026 Importance-Aware Data Selection for Efficient LLM Instruction Tuning AAAI 2026 Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection EACL 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 LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection AAAI 2026 LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning AAAI 2026 MDS-VQA: Model-Informed Data Selection for Video Quality Assessment CVPR 2026 OASIS: Online Sample Selection for Continual Instruction Tuning ACL 2026 RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection AAAI 2026 Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems CVPR 2026 SimRPD: Optimizing Recruitment Proactive Dialogue Agents through Simulator-Based Data Evaluation and Selection ACL 2026 The Data Frontier for Large Language Models: Selection, Synthesis, and Tools ACL 2026 Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data CVPR 2026 TRACE: Trajectory-based Activation Change Estimation for Task-specific Data Selection AAAI 2026 What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective ACL 2026 3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection EMNLP 2025 Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review CoNLL 2025 A CLIP-Powered Framework for Robust and Generalizable Data Selection ICLR 2025 Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection ICLR 2025