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pro vyhledávání: '"A Yeo"'
Large Language Models (LLMs) are capable of generating persuasive Natural Language Explanations (NLEs) to justify their answers. However, the faithfulness of these explanations should not be readily trusted at face value. Recent studies have proposed
Externí odkaz:
http://arxiv.org/abs/2410.14155
Autor:
Chae, Hyungjoo, Kim, Namyoung, Ong, Kai Tzu-iunn, Gwak, Minju, Song, Gwanwoo, Kim, Jihoon, Kim, Sunghwan, Lee, Dongha, Yeo, Jinyoung
Large language models (LLMs) have recently gained much attention in building autonomous agents. However, the performance of current LLM-based web agents in long-horizon tasks is far from optimal, often yielding errors such as repeatedly buying a non-
Externí odkaz:
http://arxiv.org/abs/2410.13232
Bird's-Eye-View (BEV) perception has become a vital component of autonomous driving systems due to its ability to integrate multiple sensor inputs into a unified representation, enhancing performance in various downstream tasks. However, the computat
Externí odkaz:
http://arxiv.org/abs/2410.06516
In the landscape of autonomous driving, Bird's-Eye-View (BEV) representation has recently garnered substantial academic attention, serving as a transformative framework for the fusion of multi-modal sensor inputs. This BEV paradigm effectively shifts
Externí odkaz:
http://arxiv.org/abs/2410.07268
Autor:
Kim, Sunghwan, Kang, Dongjin, Kwon, Taeyoon, Chae, Hyungjoo, Won, Jungsoo, Lee, Dongha, Yeo, Jinyoung
Reward models are key in reinforcement learning from human feedback (RLHF) systems, aligning the model behavior with human preferences. Particularly in the math domain, there have been plenty of studies using reward models to align policies for impro
Externí odkaz:
http://arxiv.org/abs/2410.01729
Autor:
Chae, Hyungjoo, Kwon, Taeyoon, Moon, Seungjun, Song, Yongho, Kang, Dongjin, Ong, Kai Tzu-iunn, Kwak, Beong-woo, Bae, Seonghyeon, Hwang, Seung-won, Yeo, Jinyoung
This paper presents Coffee-Gym, a comprehensive RL environment for training models that provide feedback on code editing. Coffee-Gym includes two major components: (1) Coffee, a dataset containing humans' code edit traces for coding questions and mac
Externí odkaz:
http://arxiv.org/abs/2409.19715
In this technical report, we describe the SNTL-NTU team's submission for Task 1 Data-Efficient Low-Complexity Acoustic Scene Classification of the detection and classification of acoustic scenes and events (DCASE) 2024 challenge. Three systems are in
Externí odkaz:
http://arxiv.org/abs/2409.11964
Effective information gathering and knowledge codification are pivotal for developing recommendation systems that promote circular economy practices. One promising approach involves the creation of a centralized knowledge repository cataloguing histo
Externí odkaz:
http://arxiv.org/abs/2409.18988
An oriented multigraph is a directed multigraph without directed 2-cycles. Let ${\rm fas}(D)$ denote the minimum size of a feedback arc set in an oriented multigraph $D$. The degree of a vertex is the sum of its out- and in-degrees. In several papers
Externí odkaz:
http://arxiv.org/abs/2409.07680
Autor:
Yeo, Youngki, Sharaby, Yoav, Roy, Nirmal, Raab, Noam, Kenji, Watanabe, Taniguchi, Takashi, Shalom, Moshe Ben
Expanding the performance of field effect devices is a key challenge of the ever-growing chip industry at the core of current technologies. A highly desired nonvolatile response in tiny multiferroic transistors is expected by electric field control o
Externí odkaz:
http://arxiv.org/abs/2409.07225