conftrace_

instruction tuning

838 papers

Explore in graph

Also known as

IT

Co-occurring keywords

large language model (13587) language model (4599) multimodal learning (4645) zero-shot learning (3650) transfer learning (5449) vision-language model (2348) low-resource language (2273) few-shot learning (3398) in-context learning (1405) multimodal large language model (966)

Papers

Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment ACL 2024
Synthesizing Text-to-SQL Data from Weak and Strong LLMs ACL 2024
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning INTERSPEECH 2024
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI EACL 2024
Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets EACL 2024
InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models EACL 2024
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models SEMEVAL 2024
NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations SEMEVAL 2024
AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4 SEMEVAL 2024
OdiaGenAI’s Participation in WMT2024 English-to-Low Resource Multimodal Translation Task EMNLP 2024
Achieving Stronger Generation via Simple Contrastive Tuning EMNLP 2024
Advancing Generative AI for Portuguese with Open Decoder Gervásio PT* COLING 2024
SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU NAACL 2024
HumanRankEval: Automatic Evaluation of LMs as Conversational Assistants NAACL 2024
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects NAACL 2024
Llama meets EU: Investigating the European political spectrum through the lens of LLMs NAACL 2024
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis NAACL 2024
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs NAACL 2024
LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models NAACL 2024
Exploring Compositional Generalization of Large Language Models NAACL 2024
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling NAACL 2024
Automatic Pair Construction for Contrastive Post-training NAACL 2024
SELF-EXPERTISE: Knowledge-based Instruction Dataset Augmentation for a Legal Expert Language Model NAACL 2024
Instruction Tuning with Human Curriculum NAACL 2024
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models NAACL 2024