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Lynn Ai

ACL 2026×2NeurIPS 2026×2评测与基准效率与系统智能体与工具强化学习与后训练安全
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0 一作 · 4 篇 · ACL 2026 / NeurIPS 2026

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2026 顶会论文

4
作者位次 #4/6ACL 2026Poster· Natural Language Processing

EVM - Q uest B ench: An Execution-Grounded Benchmark for Natural-Language Transaction Code Generation

Pei Yang · wanyi Chen · Ke Wang · Lynn Ai · Eric Yang · TIANYU SHI

摘要

Large language models are increasingly applied to various development scenarios. However, in on-chain transaction scenarios, even a minor error can cause irreversible loss for users. Existing evaluations often overlook execution accuracy and safety. We introduce EVM-QuestBench, an execution-groun...

评测与基准安全效率与系统OpenReview 项目页
作者位次 #9/9ACL 2026Findings· Findings of ACL

MARS : Unleashing the Power of Speculative Decoding via Margin-Aware Verification

Jingwei Song · Xinyu Wang · Hanbin Wang · Xiaoxuan Lei · TIANYU SHI · Shixin Han · Eric Yang · Xiao-Wen Chang · Lynn Ai

摘要

Speculative Decoding (SD) accelerates autoregressive large language model (LLM) inference by decoupling generation and verification. While recent methods improve draft quality by tightly coupling the drafter with the target model, the verification mechanism itself remains largely unchanged, relyi...

效率与系统评测与基准代码OpenReview 项目页

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