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Large Language Models

2678 directly classified papers

Papers per year

Papers

Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication NIPS 2023
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings NIPS 2023
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition NIPS 2023
Self-Refine: Iterative Refinement with Self-Feedback NIPS 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena NIPS 2023
OpenAssistant Conversations - Democratizing Large Language Model Alignment NIPS 2023
Language Models are Weak Learners NIPS 2023
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time NIPS 2023
AutoAD: Movie Description in Context CVPR 2023
Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models EMNLP 2023
Evaluating ChatGPT and Bard AI on Arabic Sentiment Analysis EMNLP 2023
ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications EMNLP 2023
AlGhafa Evaluation Benchmark for Arabic Language Models EMNLP 2023
Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence EMNLP 2022
ChavanKane at WANLP 2022 Shared Task: Large Language Models for Multi-label Propaganda Detection EMNLP 2022
Who is GPT-3? An exploration of personality, values and demographics EMNLP 2022
How Long Is Enough? Exploring the Optimal Intervals of Long-Range Clinical Note Language Modeling EMNLP 2022
Picard understanding Darmok: A Dataset and Model for Metaphor-Rich Translation in a Constructed Language EMNLP 2022
Probing GPT-3’s Linguistic Knowledge on Semantic Tasks EMNLP 2022
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts EMNLP 2022
Systematicity in GPT-3’s Interpretation of Novel English Noun Compounds EMNLP 2022
Can language models learn from explanations in context? EMNLP 2022
QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation EMNLP 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation EMNLP 2022