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20242026
most citedCAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model

3 citations · 6 across the 16 of their papers we have counts for

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Showing 2026Show all

11 papers · 1 filter

cs.CV2026

The Last Remote Sensing Model Built by Humans? Casting Any Earth Observation Task as Recursive Self-Improvement

Sijie Zhao, Zeqi Zhou, Heli Qi +6

Earth observation (EO) models are still built by hand. For each new task, experts design a training recipe and tune it against a benchmark. We show that this loop can be handed to…

cs.CV2026

EORestore-Agent: Fidelity-Guided Agentic Restoration of Remote Sensing Images with Composite Degradations

Heli Qi, Zeqi Zhou, Jingjun Yi +5

Remote sensing images often carry composite degradations, in which haze, cloud, noise, blur, low light, and low resolution coexist. Restoring them requires deciding which tool to a…

cs.AI2026

OSWorld-Science: A Benchmark of Computer Use Agents for Learning and Using Scientific Software

Dingyuan Dai, Heli Qi, Lei Liu +28

Scientific software presents a demanding test for computer-using agents based on visual language models (VLMs): completing a research workflow requires interpreting specialized int…

cs.CL2026

Evaluating Multi-Turn Multimodal Diagnostic Reasoning on Challenging Real-World Clinical Cases

Rui Yang, Weihao Xuan, Yi Lin +23

Clinical diagnostic evaluation should not only assess whether models can provide correct diagnoses, but also reflect the realities of clinical practice, including progressive discl…

cs.CL2026

Beyond Monolingual Deep Research: Evaluating Agents and Retrievers with Cross-Lingual BrowseComp-Plus

Yuheng Lu, Qingcheng Zeng, Heli Qi +6

Deep research agents are increasingly evaluated on their ability to search for evidence, reason over retrieved sources, and produce grounded answers. Existing browsing benchmarks,…

cs.AI2026

Knowledge Index of Noah's Ark

Sheng Jin, Minghao Liu, Yunze Xiao +24

Knowledge benchmarks for LLMs face three issues: scaling-driven designs that do not operationalize disciplinary representativeness; flat-payment annotation that permits lazy consen…

cs.AI2026

Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations

Junjue Wang, Weihao Xuan, Heli Qi +7

Operational disaster response goes beyond damage assessment, requiring responders to integrate multi-sensor signals, reason over road networks, populations and key facilities, plan…

cs.LG2026

Proteo-R1: Reasoning Foundation Models for De Novo Protein Design

Fang Wu, Weihao Xuan, Heli Qi +26

Deep learning in de novo protein design has achieved atomic-level fidelity. However, existing models remain largely non-deliberative: they directly synthesize molecular geometries…

cs.IR2026

Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers

Qingcheng Zeng, Yuheng Lu, Zeqi Zhou +6

Code-switching is a pervasive linguistic phenomenon in global communication, yet modern information retrieval systems remain predominantly designed for, and evaluated within, monol…

cs.CL2026

The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents

Weihao Xuan, Qingcheng Zeng, Heli Qi +3

Autonomous agents based on large language models (LLMs) are rapidly evolving to handle multi-turn tasks, but ensuring their trustworthiness remains a critical challenge. A fundamen…

cs.CL2026★ 1 cited

Toward Global Large Language Models in Medicine

Rui Yang, Huitao Li, Weihao Xuan +48

Despite continuous advances in medical technology, the global distribution of health care resources remains uneven. The development of large language models (LLMs) has transformed…