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20242026
most citedERNIE 5.0 Technical Report

2 citations · 2 across the 12 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.AI2026

OmegaUse-OfficeVal: Benchmarking LLM Agents on Long-Horizon Office-Suite Tasks with Economic Grounding

Jingbo Zhou, Yusai Zhao, Qi Bao +12

Large language model (LLM) agents are increasingly expected to assist users in completing tasks. However, existing benchmarks provide limited support for evaluating whether agents…

cs.IR2026

Clarify-Then-Search: A Clarification Benchmark for Deep Search with End-to-End Nugget Restoration

Deqiang Huang, Jingbo Zhou, Xinjiang Lu +3

Deep search is brittle on underspecified user queries: missing constraints such as time, location, scope, or definitions can lead to retrieval drift and incomplete answers. We intr…

cs.SD2026

Eureka-Audio: Triggering Audio Intelligence in Compact Language Models

Dan Zhang, Yishu Lei, Jing Hu +10

We present Eureka-Audio, a compact yet high-performance audio language model that achieves competitive performance against models that are 4 to 18 times larger across a broad range…

cs.CL2026★ 2 cited

ERNIE 5.0 Technical Report

Haifeng Wang, Hua Wu, Tian Wu +432

In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…

cs.CL2026

ATTNPO: Attention-Guided Process Supervision for Efficient Reasoning

Shuaiyi Nie, Siyu Ding, Wenyuan Zhang +7

Large reasoning models trained with reinforcement learning and verifiable rewards (RLVR) achieve strong performance on complex reasoning tasks, yet often overthink, generating redu…

cs.AI2026

OmegaUse: Building a General-Purpose GUI Agent for Autonomous Task Execution

Le Zhang, Yixiong Xiao, Xinjiang Lu +12

Graphical User Interface (GUI) agents show great potential for enabling foundation models to complete real-world tasks, revolutionizing human-computer interaction and improving hum…