Search Results for author: Tianqi Zheng

Found 5 papers, 0 papers with code

Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective

no code implementations21 Nov 2024 Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang

We conduct a comprehensive analysis of LLM representation behaviors and demonstrate the significance of using representations in knowledge checking.

RAG Retrieval

AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset

no code implementations22 Oct 2024 Dante Everaert, Rohit Patki, Tianqi Zheng, Christopher Potts

Query Autocomplete (QAC) is a critical feature in modern search engines, facilitating user interaction by predicting search queries based on input prefixes.

Semantic Retrieval

Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-max Optimization

no code implementations14 Mar 2024 Tianqi Zheng, Nicolas Loizou, Pengcheng You, Enrique Mallada

Gradient Descent Ascent (GDA) methods for min-max optimization problems typically produce oscillatory behavior that can lead to instability, e. g., in bilinear settings.

Closed-Loop Motion Planning for Differentially Flat Systems: A Time-Varying Optimization Framework

no code implementations19 Oct 2023 Tianqi Zheng, John W. Simpson-Porco, Enrique Mallada

The standard approach to combine these methodologies comprises an offline/open-loop stage, planning, that designs a feasible and safe trajectory to follow, and an online/closed-loop stage, tracking, that corrects for unmodeled dynamics and disturbances.

Motion Planning

Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics

no code implementations3 Dec 2022 Tianqi Zheng, Pengcheng You, Enrique Mallada

In constrained reinforcement learning (C-RL), an agent seeks to learn from the environment a policy that maximizes the expected cumulative reward while satisfying minimum requirements in secondary cumulative reward constraints.

reinforcement-learning Reinforcement Learning +1

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