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20212026
most citedPSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization

7 citations · 13 across the 15 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

VideoVIBE: A Video-Grounded Diagnostic Benchmark for One-Shot Interactive Website Generation

Jiajun Xu, Yanghao Zhou, Jingyun Liao +6

Natural-language-driven "vibe coding" enables the one-shot generation of visually rich and interactive web applications, yet reliable assessment of their quality has not kept pace.…

cs.AI2026

Diverse Thinking Schemata Elicit Better Reasoning in Large Language Models

Xinyue Liang, Yizhe Yang, Yu Bai +3

Large reasoning models (LRMs) have attracted increasing attention for their ability to solve complex mathematical problems by generating extended reasoning chains. In this work, we…

cs.CL2026

TrustMargin: Training-Free Arbitration between Parametric Memory and Retrieved Evidence in Large Language Models

Jingyan Xu, Hong Shi, Yi Shan +4

Large language models answer knowledge-intensive questions using both parametric memory and retrieved evidence, but neither source is uniformly reliable. Retrieval can fill knowled…

cs.AI2026

MTAVG-Bench 2.0: Diagnosing Failure Modes of Cinematic Expressiveness in Multi-Talker Audio-Video Generation

Haitian Li, Yanghao Zhou, Heyan Huang +15

In recent years, Multi-Talker Audio-Video Generation (MTAVG) models have shown promising performance on fundamental metrics such as lip-sync and audio-visual alignment. However, th…

cs.RO2026

ExoActor: Exocentric Video Generation as Generalizable Interactive Humanoid Control

Yanghao Zhou, Jingyu Ma, Yibo Peng +3

Humanoid control systems have made significant progress in recent years, yet modeling fluent interaction-rich behavior between a robot, its surrounding environment, and task-releva…

cs.RO2026

EgoActor: Grounding Task Planning into Spatial-aware Egocentric Actions for Humanoid Robots via Visual-Language Models

Yu Bai, MingMing Yu, Chaojie Li +3

Deploying humanoid robots in real-world settings is fundamentally challenging, as it demands tight integration of perception, locomotion, and manipulation under partial-information…