Zobrazeno 1 - 10
of 69 850
pro vyhledávání: '"JY An"'
Autor:
Choi, Chanyeol, Kim, Junseong, Lee, Seolhwa, Kwon, Jihoon, Gu, Sangmo, Kim, Yejin, Cho, Minkyung, Sohn, Jy-yong
This report explores the enhancement of text retrieval performance using advanced data refinement techniques. We develop Linq-Embed-Mistral\footnote{\url{https://huggingface.co/Linq-AI-Research/Linq-Embed-Mistral}} by building on the E5-mistral and M
Externí odkaz:
http://arxiv.org/abs/2412.03223
Autor:
Dai, Shenghong, Sohn, Jy-yong, Chen, Yicong, Alam, S M Iftekharul, Balakrishnan, Ravikumar, Banerjee, Suman, Himayat, Nageen, Lee, Kangwook
Continual Federated Learning (CFL) is essential for enabling real-world applications where multiple decentralized clients adaptively learn from continuous data streams. A significant challenge in CFL is mitigating catastrophic forgetting, where model
Externí odkaz:
http://arxiv.org/abs/2409.01585
Fine-tuning large pre-trained models is a common practice in machine learning applications, yet its mathematical analysis remains largely unexplored. In this paper, we study fine-tuning through the lens of memorization capacity. Our new measure, the
Externí odkaz:
http://arxiv.org/abs/2408.00359
Making decent multi-lingual sentence representations is critical to achieve high performances in cross-lingual downstream tasks. In this work, we propose a novel method to align multi-lingual embeddings based on the similarity of sentences measured b
Externí odkaz:
http://arxiv.org/abs/2405.16155
Autor:
So, Jae-hee, Chang, Joonhwan, Kim, Eunji, Na, Junho, Choi, JiYeon, Sohn, Jy-yong, Kim, Byung-Hoon, Chu, Sang Hui
Recent advancements in Large Language Models (LLMs) have accelerated their usage in various domains. Given the fact that psychiatric interviews are goal-oriented and structured dialogues between the professional interviewer and the interviewee, it is
Externí odkaz:
http://arxiv.org/abs/2403.17428
Improving the accessibility of psychotherapy with the aid of Large Language Models (LLMs) is garnering a significant attention in recent years. Recognizing cognitive distortions from the interviewee's utterances can be an essential part of psychother
Externí odkaz:
http://arxiv.org/abs/2403.14255
Mitigating hallucination issues is a key challenge that must be overcome to reliably deploy large language models (LLMs) in real-world scenarios. Recently, various methods have been proposed to detect and revise factual errors in LLM-generated texts,
Externí odkaz:
http://arxiv.org/abs/2402.17097
Publikováno v:
Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024, Valencia, Spain
Contrastive learning has emerged as a prominent branch of self-supervised learning for several years. Especially, CLIP, which applies contrastive learning to large sets of captioned images, has garnered significant attention. Recently, SigLIP, a vari
Externí odkaz:
http://arxiv.org/abs/2402.12613
Chain-of-thought (CoT) prompting is a simple and effective method for improving the reasoning capabilities of Large Language Models (LLMs). The basic idea of CoT is to let LLMs break down their thought processes step-by-step by putting exemplars in t
Externí odkaz:
http://arxiv.org/abs/2402.10645
Publikováno v:
Journal of Pain Research, Vol Volume 17, Pp 3385-3395 (2024)
Zi-jun He,1,2,* Jin-tao Wei,1,* Hai-mei Jiang,1 Jin-yong Wang,1 Jiong-yao Lai,1 Shu-qing Li,1 Zhi Chen,1 Qing-lu Luo1– 3 1Department of Rehabilitation Medicine, The Tenth Affiliated Hospital of Southern Medical University (Dongguan People
Externí odkaz:
https://doaj.org/article/481ce61e145040acae84713d4472ff98
