research note
This paper addresses the challenge of detecting misinformation in short-form video news by capturing fine-grained localized authenticity cues that arise.
research note
This paper investigates how AI assistance can empower ordinary social media users to craft more effective and authentic counterspeech responses to.
research note
This study addresses a key limitation in geophysical exploration: the difficulty of accurately resolving gas saturation and elastic constants in rock.
research note
This paper addresses the computational problem of determining when two supersymmetric quiver gauge theories are connected by a sequence of Seiberg dualities.
research note
This paper addresses the major challenge of enabling efficient, fault-tolerant logical computation on high-rate quantum low-density parity-check (qLDPC).
research note
This work addresses two related tasks of chemical structure recognition from images: optical chemical structure recognition (OCSR) of single molecules and.
research note
This paper addresses the problem of efficient post-training quantization (PTQ) for Vision Transformers (ViTs), which typically exhibit heterogeneous.
research note
ORCA-bench is a new benchmark designed to rigorously evaluate the capability of large language model (LLM) agents to perform root cause analysis (RCA).
research note
The paper addresses a foundational problem in evaluating computer-using agents (CUAs): verifying whether a CUA's trajectory fulfills a given task instruction.
research note
SWE-bench-like benchmarks are widely adopted for evaluating Large Language Models (LLMs) on issue resolution tasks, pairing real-world GitHub issues and.
research note
This paper addresses the practical challenge of comparing cloud-accessible quantum computing systems by incorporating both execution fidelity and monetary.
research note
Qwen-UI-Agent addresses major limitations of current GUI agents by targeting real-world deployment scenarios with complex, cross-platform digital task.
