Zobrazeno 1 - 10
of 223
pro vyhledávání: '"Socher, Richard"'
Autor:
Minaee, Shervin, Mikolov, Tomas, Nikzad, Narjes, Chenaghlu, Meysam, Socher, Richard, Amatriain, Xavier, Gao, Jianfeng
Large Language Models (LLMs) have drawn a lot of attention due to their strong performance on a wide range of natural language tasks, since the release of ChatGPT in November 2022. LLMs' ability of general-purpose language understanding and generatio
Externí odkaz:
http://arxiv.org/abs/2402.06196
Autor:
Xie, Tian, Yang, Xinyi, Lin, Angela S., Wu, Feihong, Hashimoto, Kazuma, Qu, Jin, Kang, Young Mo, Yin, Wenpeng, Wang, Huan, Yavuz, Semih, Wu, Gang, Jones, Michael, Socher, Richard, Zhou, Yingbo, Liu, Wenhao, Xiong, Caiming
Creating a system that can have meaningful conversations with humans to help accomplish tasks is one of the ultimate goals of Artificial Intelligence (AI). It has defined the meaning of AI since the beginning. A lot has been accomplished in this area
Externí odkaz:
http://arxiv.org/abs/2203.12187
AI and reinforcement learning (RL) have improved many areas, but are not yet widely adopted in economic policy design, mechanism design, or economics at large. At the same time, current economic methodology is limited by a lack of counterfactual data
Externí odkaz:
http://arxiv.org/abs/2108.02755
Evaluating the inherent difficulty of a given data-driven classification problem is important for establishing absolute benchmarks and evaluating progress in the field. To this end, a natural quantity to consider is the \emph{Bayes error}, which meas
Externí odkaz:
http://arxiv.org/abs/2106.03357
Autor:
Jastrzebski, Stanislaw, Arpit, Devansh, Astrand, Oliver, Kerg, Giancarlo, Wang, Huan, Xiong, Caiming, Socher, Richard, Cho, Kyunghyun, Geras, Krzysztof
The early phase of training a deep neural network has a dramatic effect on the local curvature of the loss function. For instance, using a small learning rate does not guarantee stable optimization because the optimization trajectory has a tendency t
Externí odkaz:
http://arxiv.org/abs/2012.14193
We present BRIDGE, a powerful sequential architecture for modeling dependencies between natural language questions and relational databases in cross-DB semantic parsing. BRIDGE represents the question and DB schema in a tagged sequence where a subset
Externí odkaz:
http://arxiv.org/abs/2012.12627
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
Autor:
Zhang, Jian-Guo, Hashimoto, Kazuma, Liu, Wenhao, Wu, Chien-Sheng, Wan, Yao, Yu, Philip S., Socher, Richard, Xiong, Caiming
Intent detection is one of the core components of goal-oriented dialog systems, and detecting out-of-scope (OOS) intents is also a practically important skill. Few-shot learning is attracting much attention to mitigate data scarcity, but OOS detectio
Externí odkaz:
http://arxiv.org/abs/2010.13009
Learning quickly is of great importance for machine intelligence deployed in online platforms. With the capability of transferring knowledge from learned tasks, meta-learning has shown its effectiveness in online scenarios by continuously updating th
Externí odkaz:
http://arxiv.org/abs/2010.11545
Autor:
Rajani, Nazneen Fatema, Krause, Ben, Yin, Wengpeng, Niu, Tong, Socher, Richard, Xiong, Caiming
Interpretability techniques in NLP have mainly focused on understanding individual predictions using attention visualization or gradient-based saliency maps over tokens. We propose using k nearest neighbor (kNN) representations to identify training e
Externí odkaz:
http://arxiv.org/abs/2010.09030
Human creativity is often described as the mental process of combining associative elements into a new form, but emerging computational creativity algorithms may not operate in this manner. Here we develop an inverse problem formulation to deconstruc
Externí odkaz:
http://arxiv.org/abs/2010.07126