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Himanshu Beniwal

ACL 2026×2多语言与语言学评测与基准数据与预训练社会与人本
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #4/5ACL 2026Poster· Natural Language Processing

Beyond Monolingual Assumptions: A Survey on Code-Switched NLP in the Era of Large Language Models across Modalities

Rajvee Sheth · Samridhi Raj Sinha · Mahavir Patil · Himanshu Beniwal · Mayank Singh

摘要

Amidst the rapid advances of large language models (LLMs), most LLMs still struggle with mixed-language inputs, limited Code-switching (CSW) datasets, and evaluation biases, which hinder their deployment in multilingual societies. This survey provides the first comprehensive analysis of CSW-aware...

多语言与语言学评测与基准数据与预训练OpenReview 项目页
作者位次 #2/3ACL 2026Findings· Findings of ACL

A Survey of Toxicity Mitigation Strategies for Multilingual Language Models

Soham Dan · Himanshu Beniwal · Thomas Hartvigsen

摘要

Large language models (LLMs) are transforming natural language processing across diverse linguistic communities. However, they can reproduce and amplify toxic content, including hate speech, harassment, and bias, posing significant risks to multilingual applications. We provide the first comprehe...

社会与人本评测与基准多语言与语言学OpenReview 项目页

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