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Showing papers from Soochow University Show all papers

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NeurIPS 2026SoutheastSoochowHebei University of Economics anNorth China Electric PowerBackdoors & data poisoning

SLDR: Defending Against Malicious Fine-tuning via Selective Layers Recovery and Dynamic Routing

Hui Zhang, Yachao Yuan, Jiayun Wang, Yuanzhuo Li and 2 more

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

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NeurIPS 2026SoochowResearch, MicrosoftMicrosoft Research AsiaStony BrookPekingRL for LLMs

Agent$^2$ RL-Bench: Can LLM Agents Engineer Agentic RL Post-Training?

Wanyi Chen, Xiao Yang, Xu Yang, Tianming Sha and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026YantaiSoochowOcean University of ChinaTime series forecasting

OTformer: Non-Stationarity-Aware Adaptive Optimal Transport Attention for Time Series Forecasting

Zhaowei Liu, Kaixiang Wang, Sheng Liu, zengyang zhang and 7 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026FudanSoochowHuazhong University of Science aHarbin Institute of Technology, East China NormalVision-language models

MMLongCite: A Benchmark for Evaluating Faithfulness of Long-Context Vision-Language Models

Keyan Zhou, Zecheng Tang, Lingfeng Ming, Qiguang Chen and 8 more

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

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NeurIPS 2026SoochowBaiduTencentBaidu Inc.Soochow University, ChinaEfficient attention & state-space models

Prism Attention: Proposal-Refined Index Sharing Mechanism for Efficient LLMs Inference

Zhenxu Tian, Kebin Liu, Zhengwu Yang, Yi Su and 7 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Soochow universitySoochow University, ChinaSoochowFairness & bias

Malicious Node Injection: A Transferable Adversarial Attack on GNN Fairness

Haotian Zhang, He Huang, Shuang Cui, Yu-e Sun

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

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NeurIPS 2026, WuhanWuhanSoochowVision-language models

Listening to the Retriever: Perturbation-Sensitive Question Selection for Interactive Person Retrieval

Yunhui Shao, Yang Bai, Shuai You, Bin Yang and 3 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026SoochowRenmin University of ChinaTongjiAustralian NationalMechanistic interpretability

Reading Attribution from Attention: Evidence Heads as Latent Attribution Mechanisms in LLMs

Qi Wu, Jianfeng Qu, Peng-Fei Zhang, Yanzhe Ji and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026GRADIENT DATASoochowIndependent ResearcherAmazonMicrosoftAgent benchmarks & environments

TwinRouterBench: Fast Static and Live Dynamic Evaluation for Realistic Agentic LLM Routing

TwinRouterBench introduces static and live dynamic tracks to benchmark LLM routing at agent step-level using deterministic scoring and live execution on SWE-bench.

Pei Yang, Wanyi Chen, Tongyun Yang, Pengbin Feng and 11 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 5 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 2/5
78%Highly rated
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NeurIPS 2026IndependentGradient NetworkU Science and Technology of ChinTsinghua University, TsinghuaU Edinburgh, University of EdinbRL for LLMs

ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning

ECHO-2 is a distributed RL framework that overlaps rollout generation, dissemination, and training with bounded policy staleness to improve cost efficiency while preserving rewards.

Jingwei Song, Meng Chen, Jie Xiao, Qingnan Ren and 14 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 13 on Hugging Face

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
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91%Must read
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NeurIPS 2026The Hong Kong University of ScieAlibaba GroupRenmin University of ChinaThe Chinese University of Hong KPekingLLM agents & planning

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents

A visual-native harness with an image bank and on-policy data evolution improves multimodal deep search agents, raising Qwen3-VL-8B to 39.0% average and surpassing Gemini-2.5 Pro.

Shijue Huang, Hangyu Guo, Guanting Dong, Chenxin Li and 7 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 21 on Hugging Face · Code ★ 30

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 2/5
78%Highly rated
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NeurIPS 2026The Hong Kong University of ScieSoochowHong Kong University of Science Visual grounding

SSR3D-LLM: Structured Spatial Reasoning via Latent Steps for Fine-Grained Grounding in Unified 3D-LLMs

SSR3D-LLM introduces latent spatial reasoning steps to refine 3D object rankings step-by-step, improving fine-grained grounding across benchmarks while preserving unified language tasks.

Jiawei LI, Ziyi Liu, Weijie Shi, Long Chen and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
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76%Highly rated
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NeurIPS 2026SoochowBaiduSoochow University, ChinaHarbin Institute of TechnologyEfficient attention & state-space models

Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference

Flux Attention dynamically routes layer-level attention between full and sparse modes via a lightweight router to accelerate LLM inference, achieving up to 2.8x prefill and 2.0x decode speedups with minimal training.

Quantong Qiu, Zhiyi Hong, Yi Yang, Haitian Wang and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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10/20 AI panelreviewers recommend it

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