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Itd: Large language models can teach themselves induction through deduction

W Sun, H Xu, X Yu, P Chen, S He, J Zhao… - arxiv preprint arxiv …, 2024 - arxiv.org
Although Large Language Models (LLMs) are showing impressive performance on a wide
range of Natural Language Processing tasks, researchers have found that they still have …
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DeepFM-Crispr: Prediction of CRISPR On-Target Effects via Deep Learning

C Bao, F Liu - arxiv preprint arxiv:2409.05938, 2024 - arxiv.org
Since the advent of CRISPR-Cas9, a groundbreaking gene-editing technology that enables
precise genomic modifications via a short RNA guide sequence, there has been a marked …
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Ruler: Improving llm controllability by rule-based data recycling

M Li, H Chen, C Wang, D Nguyen, D Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Despite the remarkable advancement of Large language models (LLMs), they still lack
delicate controllability under sophisticated constraints, which is critical to enhancing their …
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[CITAAT][C] Advancing Environmental Sustainability through Vision and Language Models

B HUANG, X XING, S SHEN
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[CITAAT][C] An Integrated Approach for Virtual Try-On Combining Video and Avatar Representations within Virtual Reality Environments

S Xu, D Zhen, H Liu, F Liu, J Wu
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[CITAAT][C] nhancing Assessment, Therapy, and Behavioral Analysis of Psychology in Large Model Media

MLI HUANG, K ORANGE, S RUPANI
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