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Large Language Models

9,067 papers

Papers per year

Papers

GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and Doves EMNLP 2023
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking EMNLP 2023
PerturbScore: Connecting Discrete and Continuous Perturbations in NLP EMNLP 2023
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models EMNLP 2023
Comparing Prompt-Based and Standard Fine-Tuning for Urdu Text Classification EMNLP 2023
Hierarchical Catalogue Generation for Literature Review: A Benchmark EMNLP 2023
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness EMNLP 2023
Revisiting Large Language Models as Zero-shot Relation Extractors EMNLP 2023
Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarization EMNLP 2023
Towards large language model-based personal agents in the enterprise: Current trends and open problems EMNLP 2023
CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models EMNLP 2023
Summarizing Multiple Documents with Conversational Structure for Meta-Review Generation EMNLP 2023
Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data EMNLP 2023
Probing LLMs for Joint Encoding of Linguistic Categories EMNLP 2023
Pseudointelligence: A Unifying Lens on Language Model Evaluation EMNLP 2023
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction EMNLP 2023
Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses EMNLP 2023
Co-training and Co-distillation for Quality Improvement and Compression of Language Models EMNLP 2023
ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing EMNLP 2023
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench EMNLP 2023
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate EMNLP 2023
Are Language Models Worse than Humans at Following Prompts? It’s Complicated EMNLP 2023
Impact of Co-occurrence on Factual Knowledge of Large Language Models EMNLP 2023
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation EMNLP 2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency EMNLP 2023