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Large Language Models

2678 directly classified papers

Papers per year

Papers

NEWTON: Are Large Language Models Capable of Physical Reasoning? EMNLP 2023
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues EMNLP 2023
Is GPT-4 a Good Data Analyst? EMNLP 2023
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models EMNLP 2023
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy EMNLP 2023
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models EMNLP 2023
Locally Differentially Private Document Generation Using Zero Shot Prompting EMNLP 2023
Impact of Co-occurrence on Factual Knowledge of Large Language Models EMNLP 2023
Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness EMNLP 2023
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench EMNLP 2023
Probing LLMs for Joint Encoding of Linguistic Categories EMNLP 2023
GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and Doves EMNLP 2023
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models EMNLP 2023
Probing LLMs for hate speech detection: strengths and vulnerabilities EMNLP 2023
Distilling ChatGPT for Explainable Automated Student Answer Assessment EMNLP 2023
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting EMNLP 2023
Towards a Unified Framework for Reference Retrieval and Related Work Generation EMNLP 2023
INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations EMNLP 2023
Retrieving Multimodal Information for Augmented Generation: A Survey EMNLP 2023
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models EMNLP 2023
Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization EMNLP 2023
An Empirical Study of Instruction-tuning Large Language Models in Chinese EMNLP 2023
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation EMNLP 2023
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers EMNLP 2023
Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness? EMNLP 2023