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Cong Wang

ACL 2026×2CVPR 2026ICLR 2026效率与系统代码多模态对齐与偏好可解释性
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0 一作 · 4 篇 · ACL 2026 / CVPR 2026 / ICLR 2026

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2026 顶会论文

4
作者位次 #6/6ICLR 2026Poster· Deep Learning / Generative Models and Autoencoders

SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism

Yuhao Shen · Junyi Shen · Quan Kong · Tianyu Liu · Yao Lu · Cong Wang

效率与系统代码OpenReview
作者位次 #5/5CVPR 2026Poster· Computer Vision & Pattern Recognition

ParallelVLM: Lossless Video-LLM Acceleration with Visual Alignment Aware Parallel Speculative Decoding

Quan Kong · Yuhao Shen · Yicheng Ji · Huan Li · Cong Wang

多模态对齐与偏好效率与系统OpenReview 项目页
作者位次 #7/7ACL 2026Poster· Natural Language Processing

Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism

Yuhao Shen · Tianyu Liu · Junyi Shen · Jinyang Wu · Quan Kong · Huan Li · Cong Wang

摘要

Parallel Speculative Decoding (PSD) accelerates traditional Speculative Decoding (SD) by overlapping draft generation with verification. However, it remains hampered by two fundamental challenges: (1) a theoretical speedup ceiling dictated by the speed ratio between the draft and target models, a...

效率与系统代码可解释性OpenReview 项目页
作者位次 #4/7ACL 2026Poster· Natural Language Processing

See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLM s

Yicheng Ji · Jun Zhang · Jinpeng Chen · Cong Wang · Lidan Shou · Gang Chen · Huan Li

摘要

Video Large Language Models (Video-LLMs) excel in video understanding but suffer from high inference latency due to autoregressive generation. Speculative Decoding (SD) mitigates this by applying a draft-and-verify paradigm, yet existing methods are constrained by rigid exact-match rules, severel...

效率与系统多模态代码OpenReview 项目页

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