Search Results for author:
Found 8 papers, 4 papers with code
SoftQE: Learned Representations of Queries Expanded by LLMs
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.
Summary-Oriented Question Generation for Informational Queries
Our model shows SOTA performance of SQ generation on the NQ dataset (20. 1 BLEU-4).
Learning to Generalize for Sequential Decision Making
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.
Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics
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.
Learn How to Cook a New Recipe in a New House: Using Map Familiarization, Curriculum Learning, and Bandit Feedback to Learn Families of Text-Based Adventure Games
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.
Comprehensible Context-driven Text Game Playing
As such, an LSTM-based DQN can take tens of days to finish the training process.
Decipherment of Historical Manuscript Images
European libraries and archives are filled with enciphered manuscripts from the early modern period.
SHIHbot: A Facebook chatbot for Sexual Health Information on HIV/AIDS
We present the implementation of an autonomous chatbot, SHIHbot, deployed on Facebook, which answers a wide variety of sexual health questions on HIV/AIDS.
