activity
20222024
most citedImproving Language Models via Plug-and-Play Retrieval Feedback

12 citations · 37 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CL20241 cited

DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Anni Zou, Wenhao Yu, Hongming Zhang +5

Recently, there has been a growing interest among large language model (LLM) developers in LLM-based document reading systems, which enable users to upload their own documents and…

cs.RO20243 cited

CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments

Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Mohamed Elnoor +6

We present ConVOI, a novel method for autonomous robot navigation in real-world indoor and outdoor environments using Vision Language Models (VLMs). We employ VLMs in two ways: fir…

cs.CL2023

Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations

Sihao Chen, Hongming Zhang, Tong Chen +7

We introduce sub-sentence encoder, a contrastively-learned contextual embedding model for fine-grained semantic representation of text. In contrast to the standard practice with se…

cs.RO20235 cited

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches

Jiayuan Gu, Sean Kirmani, Paul Wohlhart +14

Generalization remains one of the most important desiderata for robust robot learning systems. While recently proposed approaches show promise in generalization to novel objects, s…

cs.CV20231 cited

FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer

Xinyu Zhang, Li Wang, Zhiqiang Jiang +6

Local Feature Matching, an essential component of several computer vision tasks (e.g., structure from motion and visual localization), has been effectively settled by Transformer-b…

cs.RO2023

PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning

Wenhao Yu, Jie Peng, Quecheng Qiu +3

Robot navigation using deep reinforcement learning (DRL) has shown great potential in improving the performance of mobile robots. Nevertheless, most existing DRL-based navigation m…