large language model

TOREE: Evaluating Topic Relevance of Student Essays for Chinese Primary and Middle School Education ACL 2024 Toward Compositional Behavior in Neural Models: A Survey of Current Views EMNLP 2024 Toward In-Context Teaching: Adapting Examples to Students’ Misconceptions ACL 2024 Toward Informal Language Processing: Knowledge of Slang in Large Language Models NAACL 2024 Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Dataset ACL 2024 Towards 3D Molecule-Text Interpretation in Language Models ICLR 2024 Towards a Danish Semantic Reasoning Benchmark - Compiled from Lexical-Semantic Resources for Assessing Selected Language Understanding Capabilities of Large Language Models COLING 2024 Towards a Human-Computer Collaborative Scientific Paper Lifecycle: A Pilot Study and Hands-On Tutorial COLING 2024 Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data COLING 2024 Towards an End-to-End Framework for Invasive Brain Signal Decoding with Large Language Models Interspeech 2024 Towards a Resilient Intelligent Automation System IJCAI 2024 Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics NeurIPS 2024 Towards A Unified View of Answer Calibration for Multi-Step Reasoning ACL 2024 Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components ICML 2024 Towards Automated Evaluation of Knowledge Encoded in Large Language Models COLING 2024 Towards Autonomous Tool Utilization in Language Models: A Unified, Efficient and Scalable Framework COLING 2024 Towards Benchmarking Situational Awareness of Large Language Models:Comprehensive Benchmark, Evaluation and Analysis EMNLP 2024 Towards Cost-effective Multi-style Conversations: A Pilot Study in Task-oriented Dialogue Generation COLING 2024 Towards Demonstration-Aware Large Language Models for Machine Translation ACL 2024 Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing NeurIPS 2024 Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs EMNLP 2024 Towards Explainable Computerized Adaptive Testing with Large Language Model EMNLP 2024 Towards Explainable Evaluation Metrics for Machine Translation JMLR 2024 Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering ACL 2024 Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters EMNLP 2024