Marathi
PulseAugur coverage of Marathi — every cluster mentioning Marathi across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New MMTClinic benchmark tests LLMs on multilingual clinical time-series data
Researchers have introduced MMTClinic, a new benchmark designed to evaluate large language models (LLMs) on clinical time-series data. This benchmark incorporates text, medical images, and physiological signals, featuri…
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New benchmarks reveal LLM struggles with Indic languages and translation mechanics · 3 sources tracked
Researchers have developed VakyArth, a new benchmark designed to evaluate the pragmatic competence of large language models (LLMs) specifically within Indic languages like Hindi, Punjabi, Tamil, and Malayalam. Initial f…
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Marathi TTS improved with Llama 3.1 8B LoRA and IndicF5
A developer has detailed their process for creating a more natural-sounding Text-to-Speech (TTS) system for the Marathi language. The project involved cleaning and processing messy, code-switched Marathi text to train a…
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New benchmark reveals cross-lingual bias in LLMs
A new benchmark called INCLUDE has been developed to assess socio-cultural biases in Large Language Models (LLMs) across various Indian languages. Current safety alignment for LLMs is primarily English-focused, leading …
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New research explores advanced tokenization for LLMs, improving efficiency and performance · 4 sources tracked
Researchers are developing new methods for tokenizing text in large language models to improve efficiency and performance. One approach, SuTRA, focuses on morphological structure for morphologically rich languages like …
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LLM pipeline preserves document structure in Marathi-to-English translation
Researchers have developed a novel framework for translating government documents from Marathi to English, specifically addressing the challenge of preserving document structure and formatting. This system integrates la…
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New Marathi POS Tagging Dataset and BERT Models Released
Researchers have introduced L3Cube-MahaPOS, a new dataset for Marathi Part-of-Speech (POS) tagging, addressing the scarcity of annotated resources for the language. The dataset contains over 32,000 manually annotated se…
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New N-VSSM Model Outperforms Claude Opus 4.5 in Long-Form Narrative Consistency
Researchers have developed NarrativeWorldBench, a new benchmark designed to evaluate large language models (LLMs) on their ability to maintain narrative consistency in long-form audio dramas. Current frontier LLMs strug…
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New dataset AgriGov boosts AI for Indian farmers
Researchers have developed AgriGov, a new multilingual dataset aimed at improving AI tools for Indian farmers. The dataset focuses on government schemes and welfare policies, initially covering 50 schemes across English…
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New Marathi dataset BhashaSetu boosts low-resource translation quality
Researchers have introduced BhashaSetu, a new dataset designed to improve low-resource machine translation for Marathi. The dataset contains 2.78 million sentence pairs across various domains, including stemmed and lemm…
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LLMs improve multilingual speech correction by tuning for fluency
Researchers have developed a new method for correcting disfluencies in multilingual speech transcripts using large language models (LLMs). The pipeline first identifies disfluent tokens and then uses these signals to fi…