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PulseAugur coverage of Bangla — every cluster mentioning Bangla across labs, papers, and developer communities, ranked by signal.

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9 day(s) with sentiment data

RECENT · PAGE 1/5 · 82 TOTAL
  1. TOOL · CL_257149 ·

    New ML framework detects Parkinson's from Bengali speech

    Researchers have developed BenSParX, a novel explainable machine learning framework designed for detecting Parkinson's disease from Bengali conversational speech. This framework addresses a critical gap, as no prior voi…

  2. TOOL · CL_257054 ·

    New research probes English-Bengali performance gap in open LLMs

    A new arXiv paper investigates the performance disparity between English and Bengali in open large language models (LLMs). Researchers developed a consistent pipeline to translate 8 English benchmarks into Bengali and e…

  3. TOOL · CL_257032 ·

    New dataset tracks crisis sentiment in Bangla during Bangladesh uprising

    Researchers have developed UNRESTSENT200K, a new dataset of approximately 200,000 Bangla comments from Facebook and YouTube related to the July-August 2024 Bangladesh uprising. This dataset is designed to evaluate crisi…

  4. TOOL · CL_254294 ·

    New Bangla Sentence Function Classification Corpus Developed

    Researchers have developed a new corpus of 10,000 Bangla sentences, manually categorized into declarative, interrogative, imperative, and exclamatory functions, to address the limited resources for Bangla sentence funct…

  5. TOOL · CL_247940 ·

    New prompting technique boosts low-resource sign language instruction generation

    Researchers have developed a new method called Sign Parameter-Infused (SPI) prompting to improve the generation of instructional text for low-resource sign languages. This technique integrates specific sign language par…

  6. TOOL · CL_247699 ·

    New IndicTriMix method improves language identification in code-mixed text

    Researchers have developed a new method called IndicTriMix for identifying languages within code-mixed text, which is common in social media. This approach treats language identification as a sequence labeling problem a…

  7. TOOL · CL_245445 ·

    Srijika system generates OpenType fonts for nine Indic scripts

    Researchers have developed Srijika, a novel system designed to create installable OpenType fonts for nine Indic scripts, including Devanagari, Tamil, and Bengali. Instead of generating fonts from scratch, Srijika restyl…

  8. TOOL · CL_245250 ·

    New benchmark dataset targets Bangla dialects for LLM development

    A new benchmark dataset called 5-Dialects-BN has been released to address the lack of resources for regional Bangla dialects in large language models. This dataset includes 6,000 manually annotated entries across five m…

  9. TOOL · CL_245199 ·

    LLMs aid low-resource language IR dataset creation, but cross-lingual reuse faces challenges

    Researchers have developed a BETA-labeling framework to construct multilingual datasets for low-resource information retrieval (IR). This framework utilizes multiple large language models (LLMs) with checks for consiste…

  10. TOOL · CL_239309 ·

    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…

  11. TOOL · CL_235523 ·

    New dataset probes LLM understanding of Bangla idioms

    A new research paper introduces the first large-scale benchmark dataset for Bangla idioms, aiming to improve the understanding of idiomatic expressions in low-resource languages by large language models (LLMs). The stud…

  12. RESEARCH · CL_231514 ·

    New benchmarks assess AI's understanding of cultural context in memes

    Researchers have developed two new benchmarks, MemeCULT-1K and MemeBridge, to evaluate and improve the understanding of cultural context and humor in multimodal models. MemeCULT-1K focuses on South Asian memes in Bengal…

  13. TOOL · CL_227074 ·

    Bengali headlines show frequent negative emotional framing, study finds

    Researchers have analyzed Bengali news headlines to understand the emotional tone and affective framing used in low-resource media. Using the Gemma 3-4B model for zero-shot inference, they processed 300,000 headlines an…

  14. TOOL · CL_227045 ·

    BanglaMed-QA system launched to improve healthcare access for Bangla speakers

    Researchers have developed BanglaMed-QA, a new question-answering system designed to provide healthcare support in the Bangla language. The system utilizes a knowledge base of over 4,400 QA pairs across various medical …

  15. TOOL · CL_223227 ·

    New Bengali telemedicine dataset DocTalkBN released for medical NLP research

    Researchers have introduced DocTalkBN, a new dataset comprising over 557 hours of expert telemedicine conversations in Bengali. This multimodal dataset includes paired audio and text, capturing 1,515 multi-turn patient …

  16. TOOL · CL_221058 ·

    BanglaMamba: State Space Models Offer Efficient Alternative for Bangla Fake News Detection

    Researchers have explored the use of Mamba-based State Space Models (SSMs) for detecting fake news in the Bangla language, presenting a new model called BanglaMamba. This approach aims to offer a more computationally ef…

  17. TOOL · CL_227843 ·

    Quantization impacts LLM performance on Bangla language tasks differently by model

    A new study systematically evaluated the impact of post-training quantization on large language models (LLMs) for Bangla, a low-resource language. Researchers tested three model families—Qwen-2.5-7B, LLaMA-3.1-8B, and G…

  18. TOOL · CL_218139 ·

    New BanglaVeilGuard benchmark enhances LLM safety across diverse scripts

    Researchers have developed BanglaVeilGuard, a new safety benchmark and prompt guard specifically designed for Bangla large language models. This tool addresses the challenges of evaluating Bangla LLMs due to the common …

  19. TOOL · CL_218003 ·

    New Bengali LLM Safety Benchmark Reveals Widespread Vulnerabilities

    A new benchmark called BanglaSafe has been developed to evaluate the safety of large language models (LLMs) in Bengali, the seventh most spoken language globally. The benchmark includes 879 prompts covering 17 culturall…

  20. TOOL · CL_216030 ·

    Synthetic Bengali speech dataset released for telecom customer care

    Researchers have developed a synthetic Bengali speech dataset tailored for telecom customer care applications. This dataset comprises 10,000 audio-text pairs, totaling approximately 26.82 hours of speech, and is publicl…