Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement
This article discusses the application, evaluation and limitations of Large Language Models (LLMs) in Natural Language Inference…
Health-LLM: Personalized Retrieval-Augmented Disease Prediction Model
The article presents Health-LLM, an AI-based model for disease prediction and health management. Traditional health management methods…
CroissantLLM: A Truly Bilingual French-English Language Model
This article introduces CroissantLLM, a 1.3 billion language model trained on 3 trillion English and French tokens….
ReAGent: Towards A Model-agnostic Feature Attribution Method for Generative Language Models
The paper introduces a new feature attribution (FA) method for generative language models called the Recursive Attribution…
OLMo: Accelerating the Science of Language Models
The technical report introduces OLMo, an open language model developed by the Allen Institute for Artificial Intelligence….
Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?
This academic article explores whether smaller, compact Large Language Models (LLMs) can serve as cost-efficient alternatives to…
Towards Efficient and Exact Optimization of Language Model Alignment
The paper focuses on aligning language models with human preferences for real-world applications. It discusses the drawbacks…
Can Large Language Models Understand Context?
The paper presents a context understanding benchmark for Large Language Models (LLMs). It evaluates the performance of…
Evaluating Large Language Models for Generalization and Robustness via Data Compression
The article addresses the challenges in evaluating large language models, including data contamination, sensitivity to prompts, and…
ALISON: Fast and Effective Stylometric Authorship Obfuscation
The paper introduces ALISON, a method for authorship obfuscation that preserves the semantics of a text while…