activity
20242026
most citedGOTPR: General Outdoor Text-based Place Recognition Using Scene Graph Retrieval with OpenStreetMap

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026

0xPass: A Secure Protocol for Universal Cross-Chain Accounts

Keon Kim, Krish Chelikavada

Universal accounts allow users to manage assets and execute operations across heterogeneous blockchain ecosystems through a single interface, but they introduce security and trust…

cs.LG2026

MemDecay: Region-Aware KV Cache Eviction for Efficient LLM Agent Inference

Venkatesha Matam, Keon Kim

Large language model (LLM) agents accumulate heterogeneous context, including system instructions, plans, user turns, retrieved documents, tool outputs, and intermediate reasoning,…

cs.AI2026

Latent State Design for World Models under Sufficiency Constraints

Keon Woo Kim

A world model matters to an agent only through the state it constructs. That state must preserve some information, discard other information, and support some future function: pred…

cs.CV2026

Zoom Consistency: A Free Confidence Signal in Multi-Step Visual Grounding Pipelines

Keon Kim, Krish Chelikavada

Multi-step zoom-in pipelines are widely used for GUI grounding, yet the intermediate predictions they produce are typically discarded after coordinate remapping. We observe that th…

cs.RO2025★ 2 cited

GOTPR: General Outdoor Text-based Place Recognition Using Scene Graph Retrieval with OpenStreetMap

Donghwi Jung, Keonwoo Kim, Seong-Woo Kim

We propose GOTPR, a robust place recognition method designed for outdoor environments where GPS signals are unavailable. Unlike existing approaches that use point cloud maps, which…

cs.RO2024

E2Map: Experience-and-Emotion Map for Self-Reflective Robot Navigation with Language Models

Chan Kim, Keonwoo Kim, Mintaek Oh +10

Large language models (LLMs) have shown significant potential in guiding embodied agents to execute language instructions across a range of tasks, including robotic manipulation an…