Punjabi
PulseAugur coverage of Punjabi — every cluster mentioning Punjabi across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New dataset targets toxicity in Punjabi music lyrics
Researchers have introduced the Punjabi Geet Toxicity Dataset (PGT-FG), a new resource designed to advance the detection of toxic content within Punjabi music. This dataset, compiled from YouTube songs, features 2,396 u…
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CivicPulse Tricity uses Gemini 1.5 Pro to unify citizen feedback in India
A new open-source platform called CivicPulse Tricity (NagrikSetu AI) has been developed to unify citizen feedback across Chandigarh, Mohali, and Panchkula. This platform accepts voice notes and messages in Punjabi, Hind…
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AI cognitive screening models show significant bias against multilingual speakers
A new study published on arXiv has identified a significant false-positive bias in AI models used for speech-based cognitive screening, particularly affecting multilingual individuals in the UK. The research found that …
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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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Synthetic data boosts multilingual agricultural LLMs for QA
Researchers have developed a method to improve the performance of multilingual Large Language Models (LLMs) for agricultural question answering. By generating synthetic datasets from agriculture-specific documents origi…
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LLM negotiation outcomes shift significantly based on language, study finds
A new research paper explores how language influences the negotiation capabilities of large language models (LLMs). By conducting simulations across various negotiation games, researchers found that language choice can …
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New benchmark reveals Vision-Language Models struggle with script consistency
A new benchmark, PuMVR, has been developed to evaluate Vision-Language Models (VLMs) on their ability to handle multiple scripts within a single language. The benchmark, comprising 1,000 parallel image-text instances ac…
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LLMs struggle with cultural translation in math problems
A new study analyzed how large language models like Claude Opus 4, GPT-4.1, and Gemini 2.5 Pro translate math word problems across various languages and cultures. The research found that while models often agree on the …
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LLMs show unreliable calibration in multilingual clinical diagnosis, study finds
A new research paper explores the reliability of large language models (LLMs) for multilingual orthopedic diagnosis, particularly in low-resource settings. The study found that while LLMs demonstrate strong linguistic c…