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Ganesh Ramakrishnan

ACL 2026×2ICML 2026多语言与语言学推理评测与基准智能体与工具多模态
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0 一作 · 3 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

3
作者位次 #7/7ACL 2026Findings· Findings of ACL

Multilingual Tokenization through the Lens of I ndian Languages: Challenges and Insights

Maharaj Brahma · N J Karthika · Rajat Verma · Nagasai Saketh Naidu · Rohit Saluja · Maunendra Sankar Desarkar · Ganesh Ramakrishnan

摘要

Tokenization plays a pivotal role in NLP and is fundamental to training language models. However, existing tokenizers are often skewed towards high-resource languages, limiting their effectiveness for linguistically diverse and morphologically rich languages such as those in the Indian subcontine...

多语言与语言学推理评测与基准OpenReview 项目页
作者位次 #6/6ACL 2026Findings· Findings of ACL

Rolling Out Data Quality Overnight, without losing the plot: A Multi-Agent System for Speech Data Quality Management

Rishabh Kumar · Abhinav Painuli · Chriss Philip Saji · Devesh Soni · Amrith Krishna · Ganesh Ramakrishnan

摘要

Quality management when creating large-scale speech datasets is essential for building reliable downstream models, yet verification pipelines are often brittle, domain-specific, and expertise-intensive. We introduce SpeechQM-Agent , a natural language-driven agentic framework that compiles user r...

智能体与工具多模态数据与预训练OpenReview 项目页

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