Zobrazeno 1 - 10
of 34 582
pro vyhledávání: '"An, Yiran"'
Autor:
Gan, Esther, Zhao, Yiran, Cheng, Liying, Mao, Yancan, Goyal, Anirudh, Kawaguchi, Kenji, Kan, Min-Yen, Shieh, Michael
Large Language Models (LLMs) have demonstrated impressive capabilities in reasoning using Chain-of-Thought (CoT) prompting. However, CoT can be biased by users' instruction. In this work, we study the reasoning robustness of LLMs to typographical err
Externí odkaz:
http://arxiv.org/abs/2411.05345
3D semantic occupancy prediction is crucial for finely representing the surrounding environment, which is essential for ensuring the safety in autonomous driving. Existing fusion-based occupancy methods typically involve performing a 2D-to-3D view tr
Externí odkaz:
http://arxiv.org/abs/2411.03696
Autor:
Li, Yiran, Liu, Dongming
An in-house numerical model has been developed to study the temperature destratification induced by bubble plumes in reservoirs. The mean flow of the mixed fluid phase is solved using the Reynolds-Averaged Navier-Stokes Equations, while the bubble ph
Externí odkaz:
http://arxiv.org/abs/2411.03120
In this paper, we establish local well-posedness results for the Muskat equation in any dimension using modulus of continuity techniques. By introducing a novel quantity \(\beta_\sigma(f_0')\) which encapsulates local monotonicity and slope, we ident
Externí odkaz:
http://arxiv.org/abs/2411.01501
Autor:
Zhang, Junyao, Zhou, Guanglei, Cheng, Feng, Ku, Jonathan, Ding, Qi, Gu, Jiaqi, Wang, Hanrui, Li, Hai "Helen", Chen, Yiran
Noisy Intermediate-Scale Quantum (NISQ) computers are currently limited by their qubit numbers, which hampers progress towards fault-tolerant quantum computing. A major challenge in scaling these systems is crosstalk, which arises from unwanted inter
Externí odkaz:
http://arxiv.org/abs/2411.02447
Autor:
Zhang, Jianyi, Juan, Da-Cheng, Rashtchian, Cyrus, Ferng, Chun-Sung, Jiang, Heinrich, Chen, Yiran
Large language models (LLMs) have demonstrated remarkable capabilities, but their outputs can sometimes be unreliable or factually incorrect. To address this, we introduce Self Logits Evolution Decoding (SLED), a novel decoding framework that enhance
Externí odkaz:
http://arxiv.org/abs/2411.02433
For most health or well-being interventions, the process of evaluation is distinct from the activity itself, both in terms of who is involved, and how the actual data is collected and analyzed. Tangible interaction affords the opportunity to combine
Externí odkaz:
http://arxiv.org/abs/2410.24036
Publikováno v:
International Symposium on Academic Makerspaces. 6 (2021)
CRAFT@Large (C@L) is an initiative launched by the MakerLAB at Cornell Tech to create an inclusive environment for the intercultural and intergenerational exchange of ideas through making. With our approach, we challenge the traditional definition of
Externí odkaz:
http://arxiv.org/abs/2410.23239
The industrial landscape is rapidly evolving with the advent of 6G applications, which demand massive connectivity, high computational capacity, and ultra-low latency. These requirements present new challenges, which can no longer be efficiently addr
Externí odkaz:
http://arxiv.org/abs/2410.23086
Large language models (LLMs) have achieved high accuracy, i.e., more than 90% pass@1, in solving Python coding problems in HumanEval and MBPP. Thus, a natural question is, whether LLMs achieve comparable code completion performance compared to human
Externí odkaz:
http://arxiv.org/abs/2410.21647