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conftrace_

instruction tuning

923 papers

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IT

Co-occurring keywords · papers mentioning both

large language model (481) language model (91) vision-language model (69) multimodal learning (68) zero-shot learning (67) multimodal large language model (62) transfer learning (55) few-shot learning (46) low-resource language (45) in-context learning (42)

Papers

JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models SemEval 2025 JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning ACL 2025 KnowCoder-X: Boosting Multilingual Information Extraction via Code ACL 2025 Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning ACL 2025 Krikri: Advancing Open Large Language Models for Greek EMNLP 2025 Large Language Models as Realistic Microservice Trace Generators EMNLP 2025 Large Language Models for Controllable Multi-property Multi-objective Molecule Optimization EMNLP 2025 LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain NAACL 2025 Learning Dynamics of LLM Finetuning ICLR 2025 Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models AAAI 2025 Learning Transition Patterns by Large Language Models for Sequential Recommendation COLING 2025 Leveraging In-Context Learning for Political Bias Testing of LLMs ACL 2025 Leveraging LLMs for Bangla Grammar Error Correction: Error Categorization, Synthetic Data, and Model Evaluation ACL 2025 LimaCost: Data Valuation for Instruction Tuning of Large Language Models EMNLP 2025 LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following COLING 2025 LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D Capabilities ICCV 2025 LLAVIDAL: A Large LAnguage VIsion Model for Daily Activities of Living CVPR 2025 LLM Sensitivity Challenges in Abusive Language Detection: Instruction-Tuned vs. Human Feedback COLING 2025 LLMs for Extremely Low-Resource Finno-Ugric Languages NAACL 2025 Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning EMNLP 2025 M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation ACL 2025 MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness EMNLP 2025 MAIN: Mutual Alignment Is Necessary for instruction tuning EMNLP 2025 MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale ACL 2025 Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality EMNLP 2025