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

Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles EMNLP 2024 QUDSELECT: Selective Decoding for Questions Under Discussion Parsing EMNLP 2024 RA-DIT: Retrieval-Augmented Dual Instruction Tuning ICLR 2024 RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs NeurIPS 2024 Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on Japanese COLING 2024 Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction IJCAI 2024 RECOST: External Knowledge Guided Data-efficient Instruction Tuning ACL 2024 Reformatted Alignment EMNLP 2024 ReFT: Representation Finetuning for Language Models NeurIPS 2024 RegionGPT: Towards Region Understanding Vision Language Model CVPR 2024 REInstruct: Building Instruction Data from Unlabeled Corpus ACL 2024 Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling ACL 2024 Respond in my Language: Mitigating Language Inconsistency in Response Generation based on Large Language Models ACL 2024 Rethinking Negative Instances for Generative Named Entity Recognition ACL 2024 RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting AAAI 2024 RoboPoint: A Vision-Language Model for Spatial Affordance Prediction in Robotics CoRL 2024 RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024 RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models ACL 2024 RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization ACL 2024 ROSE Doesn’t Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding ACL 2024 R-Tuning: Instructing Large Language Models to Say ‘I Don’t Know’ NAACL 2024 Safer-Instruct: Aligning Language Models with Automated Preference Data NAACL 2024 Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions ICLR 2024 SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain NeurIPS 2024 SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models NeurIPS 2024