Summary of Exploring the Latest Llms For Leaderboard Extraction, by Salomon Kabongo et al.
Exploring the Latest LLMs for Leaderboard Extractionby Salomon Kabongo, Jennifer D'Souza, Sören AuerFirst submitted to…
Summary of I’ve Got the “answer”! Interpretation Of Llms Hidden States in Question Answering, by Valeriya Goloviznina and Evgeny Kotelnikov
I’ve got the “Answer”! Interpretation of LLMs Hidden States in Question Answeringby Valeriya Goloviznina, Evgeny…
Summary of Focus: Forging Originality Through Contrastive Use in Self-plagiarism For Language Models, by Kaixin Lan et al.
FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Modelsby Kaixin Lan, Tao Fang,…
Summary of A Theory For Token-level Harmonization in Retrieval-augmented Generation, by Shicheng Xu et al.
A Theory for Token-Level Harmonization in Retrieval-Augmented Generationby Shicheng Xu, Liang Pang, Huawei Shen, Xueqi…
Summary of Annotation Guidelines-based Knowledge Augmentation: Towards Enhancing Large Language Models For Educational Text Classification, by Shiqi Liu et al.
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classificationby Shiqi Liu,…
Summary of Enhancing Noise Robustness Of Retrieval-augmented Language Models with Adaptive Adversarial Training, by Feiteng Fang et al.
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Trainingby Feiteng Fang, Yuelin Bai,…
Summary of Adaptive Activation Steering: a Tuning-free Llm Truthfulness Improvement Method For Diverse Hallucinations Categories, by Tianlong Wang et al.
Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categoriesby Tianlong Wang,…
Summary of Hidden in Plain Sight: Exploring Chat History Tampering in Interactive Language Models, by Cheng’an Wei et al.
Hidden in Plain Sight: Exploring Chat History Tampering in Interactive Language Modelsby Cheng'an Wei, Yue…
Summary of Proof Of Quality: a Costless Paradigm For Trustless Generative Ai Model Inference on Blockchains, by Zhenjie Zhang et al.
Proof of Quality: A Costless Paradigm for Trustless Generative AI Model Inference on Blockchainsby Zhenjie…
Summary of Velora: Memory Efficient Training Using Rank-1 Sub-token Projections, by Roy Miles et al.
VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projectionsby Roy Miles, Pradyumna Reddy, Ismail Elezi, Jiankang…