Large Language Models

Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL EMNLP 2024 Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency COLING 2024 Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis AAAI 2024 Improving Language Models for Emotion Analysis: Insights from Cognitive Science ACL 2024 Improving Large Language Models in Event Relation Logical Prediction ACL 2024 Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets EMNLP 2024 Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction COLING 2024 Improving Referring Ability for Biomedical Language Models EMNLP 2024 Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts ACL 2024 Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples ACL 2024 Improving Speech Recognition with Prompt-based Contextualized ASR and LLM-based Re-predictor Interspeech 2024 Improving Text Embeddings with Large Language Models ACL 2024 Improving Transfer Learning for Early Forecasting of Academic Performance by Contextualizing Language Models NAACL 2024 In-Context Language Learning: Architectures and Algorithms ICML 2024 In-Context Learning Learns Label Relationships but Is Not Conventional Learning ICLR 2024 In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models EMNLP 2024 In-Context Learning through the Bayesian Prism ICLR 2024 In-Context Learning with Representations: Contextual Generalization of Trained Transformers NeurIPS 2024 In-Contextual Gender Bias Suppression for Large Language Models EACL 2024 Incorporating Dialect Understanding Into LLM Using RAG and Prompt Engineering Techniques for Causal Commonsense Reasoning NAACL 2024 Incorporating Word Count Information into Depression Risk Summary Generation: INF@UoS CLPsych 2024 Submission EACL 2024 Incremental pre-training from smaller language models ACL 2024 IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context NAACL 2024 IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages ACL 2024 IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages ACL 2024