no code implementations • 20 Feb 2024 • Varad Pimpalkhute, John Heyer, Xusen Yin, Sameer Gupta
We investigate the integration of Large Language Models (LLMs) into query encoders to improve dense retrieval without increasing latency and cost, by circumventing the dependency on LLMs at inference time.
no code implementations • ACL (dialdoc) 2021 • Xusen Yin, Li Zhou, Kevin Small, Jonathan May
Our model shows SOTA performance of SQ generation on the NQ dataset (20. 1 BLEU-4).
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Xusen Yin, Ralph Weischedel, Jonathan May
However, the large amount of computation necessary to adequately train and explore the search space of sequential decision making, under a reinforcement learning paradigm, precludes the inclusion of large contextualized language models, which might otherwise enable the desired generalization ability.
no code implementations • 6 Apr 2020 • Xusen Yin, Jonathan May
Reinforcement learning algorithms such as Q-learning have shown great promise in training models to learn the optimal action to take for a given system state; a goal in applications with an exploratory or adversarial nature such as task-oriented dialogues or games.
1 code implementation • 13 Aug 2019 • Xusen Yin, Jonathan May
We consider the task of learning to play families of text-based computer adventure games, i. e., fully textual environments with a common theme (e. g. cooking) and goal (e. g. prepare a meal from a recipe) but with different specifics; new instances of such games are relatively straightforward for humans to master after a brief exposure to the genre but have been curiously difficult for computer agents to learn.
2 code implementations • 6 May 2019 • Xusen Yin, Jonathan May
As such, an LSTM-based DQN can take tens of days to finish the training process.
1 code implementation • 9 Oct 2018 • Xusen Yin, Nada Aldarrab, Beáta Megyesi, Kevin Knight
European libraries and archives are filled with enciphered manuscripts from the early modern period.
no code implementations • WS 2017 • Jacqueline Brixey, Rens Hoegen, Wei Lan, Joshua Rusow, Karan Singla, Xusen Yin, Ron artstein, Anton Leuski
We present the implementation of an autonomous chatbot, SHIHbot, deployed on Facebook, which answers a wide variety of sexual health questions on HIV/AIDS.