conftrace_

instruction tuning

838 papers

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IT

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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

One Embedder, Any Task: Instruction-Finetuned Text Embeddings ACL 2023
StoryWars: A Dataset and Instruction Tuning Baselines for Collaborative Story Understanding and Generation ACL 2023
Differentiable Instruction Optimization for Cross-Task Generalization ACL 2023
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning EMNLP 2023
TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties EMNLP 2023
Tuna: Instruction Tuning using Feedback from Large Language Models EMNLP 2023
PIVOINE: Instruction Tuning for Open-world Entity Profiling EMNLP 2023
ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback EMNLP 2023
Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM EMNLP 2023
Roles of Scaling and Instruction Tuning in Language Perception: Model vs. Human Attention EMNLP 2023
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning ACL 2023
HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation ACL 2023
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering ACL 2023
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning ACL 2023
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning ICML 2023
Poisoning Language Models During Instruction Tuning ICML 2023
Exploring the Benefits of Training Expert Language Models over Instruction Tuning ICML 2023
Adding Instructions during Pretraining: Effective way of Controlling Toxicity in Language Models EACL 2023
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests CONLL 2023
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning CONLL 2023
How Many Data Samples is an Additional Instruction Worth? EACL 2023
Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs EMNLP 2023
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding EMNLP 2023
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources NIPS 2023
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning NIPS 2023