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Showing papers from Guangdong OPPO Mobile Telecommunications Corp.,Ltd. Show all papers

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NeurIPS 2026International Digital Economy AcTongjiGuangdong OPPO Mobile TelecommunNanyang TechnologicalBytedanceLLM agents & planning

AgenTracer-v2: Agentic Failure Tracer for LLM Agentic Systems

Guibin Zhang, Haoyu Lu, Junhao Wang, He Zhu and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026ZhejiangHangzhou DianziGuangdong OPPO Mobile TelecommunOPPO Research Institute Instruction tuning

HALO: Heterogeneous-Aware LoRA Optimization via Rank Allocation and Client-Aware Projection

XiaoHua Feng, Yuyuan Li, Jiayuan Fang, Fengyuan Yu and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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NeurIPS 2026OralZhejiangGuangdong OPPO Mobile TelecommunOPPO Research Institute Privacy

EntiRE: Invariant Learning for Robust Concept Erasure in Text-to-Image Generative Models

Fengyuan Yu, Yuyuan Li, XiaoHua Feng, Li Zhang and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
45%Niche pick
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NeurIPS 2026FudanGuangdong OPPO Mobile TelecommunOppo AI centerOPPO Guangdong Mobile TelecommunVQA & captioning

EVA-Cap: Optimizing Audiovisual Video Captioning via Event-Centric Alignment

Jiapeng Shi, Qiuxia Hou, Jiaqi Leng, Junke Wang and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
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57%Worth a look
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NeurIPS 2026Hong Kong PolytechnicGuangdong OPPO Mobile TelecommunThe Hong Kong PolytechnicOPPO Research InstituteThe Hong Kong Polytechnic UnivLLM agents & planning

AURA: An Autonomous Retouching Agent with Photographic Visual Thinking

Shuaizheng Liu, Fangzhou Han, Jiarong Liao, Yujing Sun and 7 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
76%Highly rated
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NeurIPS 2026SouthwestThe Hong Kong University of ScieTsinghuaByteDance Inc.Guangdong OPPO Mobile TelecommunWeb & GUI agents

Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization

SMTL replaces sequential reasoning with parallel evidence acquisition for efficient long-horizon agentic search, achieving state-of-the-art results on multiple benchmarks with far fewer reasoning steps.

Chengjun Yu, Shu XU, Jiaqi Wu, Qianben Chen and 20 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 23 on Hugging Face · Code ★ 3

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
80%Must read
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NeurIPS 2026HohaiNanjing University of Science anThe University of ManchesterGuangdong OPPO Mobile TelecommunThe Hong Kong University of ScieLLM agents & planning

A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression

TACO is a training-free framework that learns adaptive compression rules from terminal agent trajectories to filter noisy observations, improving accuracy by 1-4% and reducing token usage across benchmarks.

JinCheng Ren, Siwei Wu, Yizhi Li, Zhu and 9 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 24 on Hugging Face · Code ★ 47

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
78%Highly rated
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NeurIPS 2026National University of SingaporeNanyang TechnologicalTsinghuaGuangdong OPPO Mobile TelecommunDepartment of Computer Science, Image recognition

Tool-IQA: Augmenting Image Quality Assessment with Simple Tools

Tool-IQA equips vision-language models with magnifier and gamma corrector tools for local inspection and calibrated image quality scoring, significantly outperforming state-of-the-art models.

Guanyi Qin, Junjie Zhang, Chunming He, Yibing Fu and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5