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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

Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation CVPR 2025 CrossIn: An Efficient Instruction Tuning Approach for Cross-Lingual Knowledge Alignment COLING 2025 Cross-lingual Transfer Dynamics in BLOOMZ: Insights into Multilingual Generalization EMNLP 2025 CrystalICL: Enabling In-Context Learning for Crystal Generation EMNLP 2025 CultureInstruct: Curating Multi-Cultural Instructions at Scale NAACL 2025 CyberPal.AI: Empowering LLMs with Expert-Driven Cybersecurity Instructions AAAI 2025 CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency EMNLP 2025 D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning IJCAI 2025 DA-Pred: Performance Prediction for Text Summarization under Domain-Shift and Instruct-Tuning EMNLP 2025 Data and Model Centric Approaches for Expansion of Large Language Models to New languages EMNLP 2025 DeepResonance: Enhancing Multimodal Music Understanding via Music-centric Multi-way Instruction Tuning EMNLP 2025 Deloitte (Drocks) at the Financial Misinformation Detection Challenge Task: Enhancing Misinformation Detection through Instruction-Tuned Models COLING 2025 Demystifying Domain-adaptive Post-training for Financial LLMs EMNLP 2025 Development of Pre-Trained Transformer-based Models for the Nepali Language COLING 2025 DialogueMMT: Dialogue Scenes Understanding Enhanced Multi-modal Multi-task Tuning for Emotion Recognition in Conversations COLING 2025 DIPLomA: Efficient Adaptation of Instructed LLMs to Low-Resource Languages via Post-Training Delta Merging EMNLP 2025 Diversification Catalyzes Language Models’ Instruction Generalization To Unseen Semantics ACL 2025 Don’t Half-listen: Capturing Key-part Information in Continual Instruction Tuning ACL 2025 DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization ACL 2025 Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts NAACL 2025 Dynamics of Instruction Fine-Tuning for Chinese Large Language Models COLING 2025 EAA: Emotion-Aware Audio Large Language Models with Dual Cross-Attention and Context-Aware Instruction Tuning Interspeech 2025 EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues CVPR 2025 Efficient Domain Continual pretraining by Mitigating the Stability Gap ACL 2025 Emotion Train at SemEval-2025 Task 11: Comparing Generative and Discriminative Models in Emotion Recognition SemEval 2025