instruction tuning

Enhancing Reasoning Capabilities by Instruction Learning and Chain-of-Thoughts for Implicit Discourse Relation Recognition EMNLP 2023 Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs EMNLP 2023 EntSUMv2: Dataset, Models and Evaluation for More Abstractive Entity-Centric Summarization EMNLP 2023 Exploration of Open Large Language Models for eDiscovery EMNLP 2023 Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration EMNLP 2023 Exploring the Benefits of Training Expert Language Models over Instruction Tuning ICML 2023 Exploring the Curious Case of Code Prompts ACL 2023 Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models EMNLP 2023 HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation ACL 2023 How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources NeurIPS 2023 How Many Data Samples is an Additional Instruction Worth? EACL 2023 InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators EMNLP 2023 Instruct and Extract: Instruction Tuning for On-Demand Information Extraction EMNLP 2023 InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning NeurIPS 2023 Instructed Language Models with Retrievers Are Powerful Entity Linkers EMNLP 2023 Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis ACL 2023 Instructive Dialogue Summarization with Query Aggregations EMNLP 2023 InstructPTS: Instruction-Tuning LLMs for Product Title Summarization EMNLP 2023 InstructSafety: A Unified Framework for Building Multidimensional and Explainable Safety Detector through Instruction Tuning EMNLP 2023 LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark NeurIPS 2023 Large Language Models are Visual Reasoning Coordinators NeurIPS 2023 LayoutDM: Transformer-Based Diffusion Model for Layout Generation CVPR 2023 LIMA: Less Is More for Alignment NeurIPS 2023 Lion: Adversarial Distillation of Proprietary Large Language Models EMNLP 2023 LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models EMNLP 2023