conftrace_

instruction tuning

923 papers

Explore in graph

Also known as

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

SCoder: Progressive Self-Distillation for Bootstrapping Small-Scale Data Synthesizers to Empower Code LLMs EMNLP 2025 SEA-LION: Southeast Asian Languages in One Network IJCNLP 2025 SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages NAACL 2025 Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching ACL 2025 SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes SemEval 2025 SFMSS: Service Flow aware Medical Scenario Simulation for Conversational Data Generation NAACL 2025 Simplified Rewriting Improves Expert Summarization IJCNLP 2025 SOLAR: Serendipity Optimized Language Model Aligned for Recommendation EMNLP 2025 Sources of Disagreement in Data for LLM Instruction Tuning COLING 2025 sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting ACL 2025 STAND-Guard: A Small Task-Adaptive Content Moderation Model COLING 2025 STEP: Staged Parameter-Efficient Pre-training for Large Language Models NAACL 2025 Stratified Selective Sampling for Instruction Tuning with Dedicated Scoring Strategy EMNLP 2025 Stronger Models are Not Always Stronger Teachers for Instruction Tuning NAACL 2025 Superfluous Instruction: Vulnerabilities Stemming from Task-Specific Superficial Expressions in Instruction Templates ACL 2025 SUWMIT at BioLaySumm2025: Instruction-based Summarization with Contrastive Decoding ACL 2025 Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation AAAI 2025 SynClaimEval: A Framework for Evaluating the Utility of Synthetic Data in Long-Context Claim Verification AACL 2025 Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation ACL 2025 TableBench: A Comprehensive and Complex Benchmark for Table Question Answering AAAI 2025 TableDreamer: Progressive and Weakness-guided Data Synthesis from Scratch for Table Instruction Tuning ACL 2025 TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution COLING 2025 Tackling Low-Resource NMT with Instruction-Tuned LLaMA: A Study on Kokborok and Bodo EMNLP 2025 TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data NAACL 2025 Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection ACL 2025