conftrace_

instruction fine-tuning

100 papers

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Also known as

IFT

Co-occurring keywords

large language model (13587) instruction tuning (838) language model (4599) low-resource language (2273) multimodal learning (4645) zero-shot learning (3650) in-context learning (1405) machine translation (2499) transfer learning (5449) multilingual language model (444)

Papers

Language is All a Graph Needs EACL 2024
How Can Client Motivational Language Inform Psychotherapy Agents? EACL 2024
RiddleMasters at SemEval-2024 Task 9: Comparing Instruction Fine-tuning with Zero-Shot Approaches SEMEVAL 2024
LlamaCare: An Instruction Fine-Tuned Large Language Model for Clinical NLP COLING 2024
Learning or Self-aligning? Rethinking Instruction Fine-tuning ACL 2024
Instruction Position Matters in Sequence Generation with Large Language Models ACL 2024
FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models ACL 2024
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions NIPS 2024
YNU-HPCC at SemEval-2024 Task 7: Instruction Fine-tuning Models for Numerical Understanding and Generation SEMEVAL 2024
Towards Automatic Finnish Text Simplification COLING 2024
Exploring Very Low-Resource Translation with LLMs: The University of Edinburgh’s Submission to AmericasNLP 2024 Translation Task NAACL 2024
FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversations NAACL 2024
YNU-HPCC at SemEval-2024 Task 7: Instruction Fine-tuning Models for Numerical Understanding and Generation NAACL 2024
RiddleMasters at SemEval-2024 Task 9: Comparing Instruction Fine-tuning with Zero-Shot Approaches NAACL 2024
CodeM: Less Data Yields More Versatility via Ability Matrix ACL 2024
Phased Instruction Fine-Tuning for Large Language Models ACL 2024
IgnitionInnovators at “Discharge Me!”: Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries ACL 2024
MBIAS: Mitigating Bias in Large Language Models While Retaining Context ACL 2024
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning ACL 2024
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers EMNLP 2024
LongAlign: A Recipe for Long Context Alignment of Large Language Models EMNLP 2024
A Bayesian Approach to Data Point Selection NIPS 2024
Instruction Fine-Tuning: Does Prompt Loss Matter? EMNLP 2024
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs CVPR 2024
AvatarGPT: All-in-One Framework for Motion Understanding Planning Generation and Beyond CVPR 2024