conftrace_

instruction tuning

923 papers

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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

LLM can Achieve Self-Regulation via Hyperparameter Aware Generation ACL 2024 LLMCrit: Teaching Large Language Models to Use Criteria ACL 2024 LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation ICLR 2024 LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement EMNLP 2024 LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback ACL 2024 LLMs for Low Resource Languages in Multilingual, Multimodal and Dialectal Settings EACL 2024 LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models NAACL 2024 LocLLM: Exploiting Generalizable Human Keypoint Localization via Large Language Model CVPR 2024 Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models EMNLP 2024 LongForm: Effective Instruction Tuning with Reverse Instructions EMNLP 2024 M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning EMNLP 2024 MAIR: A Massive Benchmark for Evaluating Instructed Retrieval EMNLP 2024 MAmmoTH2: Scaling Instructions from the Web NeurIPS 2024 MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning ICLR 2024 MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models ACL 2024 MathScale: Scaling Instruction Tuning for Mathematical Reasoning ICML 2024 mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models ACL 2024 MedINST: Meta Dataset of Biomedical Instructions EMNLP 2024 mEdIT: Multilingual Text Editing via Instruction Tuning NAACL 2024 Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models EMNLP 2024 MEEL: Multi-Modal Event Evolution Learning ACL 2024 MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications EMNLP 2024 MINT: Boosting Audio-Language Model via Multi-Target Pre-Training and Instruction Tuning Interspeech 2024 Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning ICLR 2024 Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models ICLR 2024