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Amr Mohamed

ACL 2026×2推理评测与基准多语言与语言学效率与系统
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2 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
一作ACL 2026Poster· Natural Language Processing

Lost in the Mix: Evaluating LLM Understanding of Code-Switched Text

Amr Mohamed · Yang Zhang · Michalis Vazirgiannis · Guokan Shang

摘要

Code-switching (CSW) is the act of alternating between two or more languages within a single discourse. This phenomenon is widespread in multilingual communities and increasingly prevalent online, exposing large language models (LLMs) to mixed-language inputs. We present a systematic evaluation o...

推理评测与基准多语言与语言学OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

Fast-Decoding Diffusion Language Models via Progress-Aware Confidence Schedules

Amr Mohamed · Yang Zhang · Michalis Vazirgiannis · Guokan Shang

摘要

Diffusion large language models (dLLMs) offer a promising alternative to autoregressive models, but their practical utility is severely hampered by slow, iterative sampling. We present SchED , a training-free, model-agnostic early-exit algorithm that terminates diffusion decoding using a progress...

效率与系统评测与基准推理OpenReview 项目页

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