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

Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction ACL 2024 Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning EMNLP 2024 Does the Order Matter? Curriculum Learning over Languages COLING 2024 DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting NeurIPS 2024 DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping NAACL 2024 Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? ICML 2024 DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning ACL 2024 Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets EACL 2024 EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models ACL 2024 eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data ICML 2024 EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce AAAI 2024 Effective Long-Context Scaling of Foundation Models NAACL 2024 Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification NAACL 2024 Eliciting Instruction-tuned Code Language Models’ Capabilities to Utilize Auxiliary Function for Code Generation EMNLP 2024 EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models ACL 2024 Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning NeurIPS 2024 Empowering and Assessing the Utility of Large Language Models in Crop Science NeurIPS 2024 Empowering cross-lingual abilities of instruction-tuned large language models by translation-following demonstrations ACL 2024 Emu: Generative Pretraining in Multimodality ICLR 2024 Enhancing Discourse Dependency Parsing with Sentence Dependency Parsing: A Unified Generative Method Based on Code Representation EMNLP 2024 Enhancing Large Vision Language Models with Self-Training on Image Comprehension NeurIPS 2024 Enhancing LLM Capabilities Beyond Scaling Up EMNLP 2024 E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding NeurIPS 2024 Evaluating the Zero-shot Robustness of Instruction-tuned Language Models ICLR 2024 EVIT: Event-Oriented Instruction Tuning for Event Reasoning ACL 2024