Zobrazeno 1 - 10
of 1 474 334
pro vyhledávání: '"P. P. Lee"'
Retrieval-Augmented Generation (RAG) enhances language models by retrieving and incorporating relevant external knowledge. However, traditional retrieve-and-generate processes may not be optimized for real-world scenarios, where queries might require
Externí odkaz:
http://arxiv.org/abs/2410.13339
Large Vision-Language Models (LVLMs) demonstrate impressive capabilities in generating detailed and coherent responses from visual inputs. However, they are prone to generate hallucinations due to an over-reliance on language priors. To address this
Externí odkaz:
http://arxiv.org/abs/2410.13321
Developing effective text summarizers remains a challenge due to issues like hallucinations, key information omissions, and verbosity in LLM-generated summaries. This work explores using LLM-generated feedback to improve summary quality by aligning t
Externí odkaz:
http://arxiv.org/abs/2410.13116
As we enter the era of big data, collecting high-quality data is very important. However, collecting data by humans is not only very time-consuming but also expensive. Therefore, many scientists have devised various methods to collect data using comp
Externí odkaz:
http://arxiv.org/abs/2410.12561
Autor:
Yi, Minseok, Lee, Daehee, Gola, Alberto, Merzi, Stefano, Penna, Michele, Lee, Jae Sung, Cherry, Simon R., Kwon, Sun Il
Positron emission tomography (PET) is the most sensitive biomedical imaging modality for non-invasively detecting and visualizing positron-emitting radiopharmaceuticals within a subject. In PET, measuring the time-of-flight (TOF) information for each
Externí odkaz:
http://arxiv.org/abs/2410.12161
This paper explores the current state of generative AI policies of computer science conferences and offers guidelines for policy adoption.
Externí odkaz:
http://arxiv.org/abs/2410.11977
Improved Regret Bound for Safe Reinforcement Learning via Tighter Cost Pessimism and Reward Optimism
This paper studies the safe reinforcement learning problem formulated as an episodic finite-horizon tabular constrained Markov decision process with an unknown transition kernel and stochastic reward and cost functions. We propose a model-based algor
Externí odkaz:
http://arxiv.org/abs/2410.10158
We develop the viscosity method for the homogenization of an obstacle problem with highly oscillating obstacles. The associated operator, in non-divergence form, is linear and elliptic with variable coefficients. We first construct a highly oscillati
Externí odkaz:
http://arxiv.org/abs/2410.09378
Mongolia is among the countries undergoing rapid urbanization, and its temporary nomadic dwellings-known as Ger-have expanded into urban areas. Ger settlements in cities are increasingly recognized as slums by their socio-economic deprivation. The di
Externí odkaz:
http://arxiv.org/abs/2410.09522
Recent advancements in large language models have demonstrated enhanced capabilities in visual reasoning tasks by employing additional encoders for aligning different modalities. While the Q-Former has been widely used as a general encoder for aligni
Externí odkaz:
http://arxiv.org/abs/2410.09489