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08/16/2023
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System
End-to-end task-oriented dialogue (TOD) systems have achieved promising ...
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08/11/2023
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
The massive successes of large language models (LLMs) encourage the emer...
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08/04/2023
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
Recent months have seen the emergence of a powerful new trend in which l...
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07/19/2023
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
Despite advancements in conversational AI, language models encounter cha...
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07/18/2023
REX: Rapid Exploration and eXploitation for AI Agents
In this paper, we propose an enhanced approach for Rapid Exploration and...
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05/12/2023
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training
Existing recommender systems face difficulties with zero-shot items, i.e...
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03/10/2023
On the Unlikelihood of D-Separation
Causal discovery aims to recover a causal graph from data generated by i...
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12/06/2022
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
Data heterogeneity across clients in federated learning (FL) settings is...
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11/20/2021
Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution
The distribution gap between training datasets and data encountered in p...
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12/19/2020
Communication-Aware Collaborative Learning
Algorithms for noiseless collaborative PAC learning have been analyzed a...
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02/12/2019
