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Found 7 papers, 1 papers with code
ProTIP: Progressive Tool Retrieval Improves Planning
Large language models (LLMs) are increasingly employed for complex multi-step planning tasks, where the tool retrieval (TR) step is crucial for achieving successful outcomes.
Context Tuning for Retrieval Augmented Generation
To address this limitation, we propose Context Tuning for RAG, which employs a smart context retrieval system to fetch relevant information that improves both tool retrieval and plan generation.
DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction
In this work, we present a highly-precise, PDA-compatible pronunciation learning framework for the task of TTS mispronunciation detection and correction.
Low-Resource Adaptation of Open-Domain Generative Chatbots
Recent work building open-domain chatbots has demonstrated that increasing model size improves performance.
Open-Domain Question Answering Goes Conversational via Question Rewriting
We introduce a new dataset for Question Rewriting in Conversational Context (QReCC), which contains 14K conversations with 80K question-answer pairs.
Generalized Reinforcement Meta Learning for Few-Shot Optimization
We present a generic and flexible Reinforcement Learning (RL) based meta-learning framework for the problem of few-shot learning.
Learning to Rank Intents in Voice Assistants
Voice Assistants aim to fulfill user requests by choosing the best intent from multiple options generated by its Automated Speech Recognition and Natural Language Understanding sub-systems.
