Large Language Models

INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness NeurIPS 2024 Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings ACL 2024 Induct-Learn: Short Phrase Prompting with Instruction Induction EMNLP 2024 INDUS: Effective and Efficient Language Models for Scientific Applications EMNLP 2024 InFact: A Strong Baseline for Automated Fact-Checking EMNLP 2024 Inference and Verbalization Functions During In-Context Learning EMNLP 2024 InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models NeurIPS 2024 InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management OSDI 2024 InFoBench: Evaluating Instruction Following Ability in Large Language Models ACL 2024 Information Re-Organization Improves Reasoning in Large Language Models NeurIPS 2024 InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions NAACL 2024 Insights into LLM Long-Context Failures: When Transformers Know but Don’t Tell EMNLP 2024 #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models ICLR 2024 Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance ACL 2024 InstructCoder: Instruction Tuning Large Language Models for Code Editing ACL 2024 InstructEval: Instruction-Tuned Text Evaluator from Human Preference ACL 2024 InstructEval: Systematic Evaluation of Instruction Selection Methods NAACL 2024 InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models EACL 2024 InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment ACL 2024 Instruction Data Generation and Unsupervised Adaptation for Speech Language Models Interspeech 2024 Instruction Fusion: Advancing Prompt Evolution through Hybridization ACL 2024 Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks EMNLP 2024 Instruction Pre-Training: Language Models are Supervised Multitask Learners EMNLP 2024 Instruction-tuned Language Models are Better Knowledge Learners ACL 2024 Instruction Tuning Large Language Models to Understand Electronic Health Records NeurIPS 2024