AI & Sentiment Analysis
A Fine-grained Metric for Video Question Answering Data Quality Evaluation
View a PDF of the paper titled EVQAScore: A Fine-grained Metric for Video Question Answering Data Quality Evaluation, by Hao...
Read moreDetailsCombining Base and Instruction-Tuned Language Models for Better Synthetic Data Generation
View a PDF of the paper titled BARE: Combining Base and Instruction-Tuned Language Models for Better Synthetic Data Generation, by...
Read moreDetailsRule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
View a PDF of the paper titled RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering, by Zhongwu Chen...
Read moreDetailsAn Integrated Toolkit for Evaluating Jailbreak Attempts Against Large Language Models
View a PDF of the paper titled JailbreakEval: An Integrated Toolkit for Evaluating Jailbreak Attempts Against Large Language Models, by...
Read moreDetailsExploring the Role of Punctuation in Semantic Processing
View a PDF of the paper titled Aligning Brain Activity with Advanced Transformer Models: Exploring the Role of Punctuation in...
Read moreDetails[2501.07927] Gandalf the Red: Adaptive Security for LLMs
Authors:Niklas Pfister, Vรกclav Volhejn, Manuel Knott, Santiago Arias, Julia Baziลska, Mykhailo Bichurin, Alan Commike, Janet Darling, Peter Dienes, Matthew Fiedler,...
Read moreDetailsLanguage Bias in Self-Supervised Learning For Automatic Speech Recognition
arXiv:2501.19321v1 Announce Type: cross Abstract: Self-supervised learning (SSL) is used in deep learning to train on large datasets without the...
Read moreDetailsRepresentation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking
View a PDF of the paper titled xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking, by Sunbowen Lee...
Read moreDetailsDFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance
arXiv:2501.17479v1 Announce Type: cross Abstract: Large Language Models (LLMs) have shown remarkable capabilities across various natural language processing tasks but...
Read moreDetailsVirus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation
arXiv:2501.17433v1 Announce Type: cross Abstract: Recent research shows that Large Language Models (LLMs) are vulnerable to harmful fine-tuning attacks --...
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