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  1. Home
  2. /Repositories
  3. /PacificAI/langtest
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 7d ago

PacificAI/langtest

Deliver safe & effective language models

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 59%Book Review: Domain-Specific Small Language Models by Guglielmo Iozzia →
  • PossiblePossibly related (embedding) · 56%AutoTrainess: Teaching Language Models to Improve Language Models Autonomously →
  • PossiblePossibly related (embedding) · 55%Tone-Conditioned Curriculum Learning for Low-Resource Bantu Speech Recognition →
  • PossiblePossibly related (embedding) · 55%HaloGuard 1.0: An Open Weights Constitutional Classifier for Multilingual AI Safety →
  • PossiblePossibly related (embedding) · 55%IEEE Rolls Out Large Language Models Virtual Training Course →
  • PossiblePossibly related (embedding) · 51%Echoes Across Vietnam's Highlands, Delta, and Coast: A Multilingual Corpus for Cham, Khmer, and Tay-Nung →
  • PossiblePossibly related (embedding) · 47%Complexity-Guided Component-wise Initialization for Language Model Pretraining →
  • PossiblePossibly related (embedding) · 54%J-Wash: A novel way to brainwash and customize large language models based on Anthropic's Jacobian-Lens! →

Covers

newsBook Review: Domain-Specific Small Language Models by Guglielmo IozzianewsIEEE Rolls Out Large Language Models Virtual Training Course

Implements

paperAutoTrainess: Teaching Language Models to Improve Language Models AutonomouslypaperTone-Conditioned Curriculum Learning for Low-Resource Bantu Speech RecognitionpaperHaloGuard 1.0: An Open Weights Constitutional Classifier for Multilingual AI Safety

Implements (incoming)

paperEchoes Across Vietnam's Highlands, Delta, and Coast: A Multilingual Corpus for Cham, Khmer, and Tay-NungpaperComplexity-Guided Component-wise Initialization for Language Model PretrainingpaperBeyond Benchmarks: Exposing the Hidden Crisis in Bangla Hate Speech DetectionpaperProgressive Refinement: An Iterative Pseudo-Labeling Approach for Mandarin-English Code-Switching ASRpaperSPEARBench: A Benchmark for Naturalness Evaluation in Streaming Speech-to-Speech Language ModelspaperResample or Reroute? Budget-Aware Test-Time Model Selection for Large Language ModelspaperBlueMagpie-TTS: A Token-Efficient Tokenizer, Language Model, and TTS for Taiwanese-Accent Code-Switching SpeechpaperPluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and ReliabilitypaperFrom Sinhala to Dhivehi: Cross-Lingual Transfer Learning for Low-Resource Speech Recognition

Covers (incoming)

newsJ-Wash: A novel way to brainwash and customize large language models based on Anthropic's Jacobian-Lens!newsLarge Language Models Are Still Getting Stronger, but Researchers Face New Bottlenecks in Data, Evaluation, and Safety | Newswise - NewswisenewsFreeBSoD: Leveraging Language Models to Find and Exploit Kernel Bugs (Part 2 of 2) - Security BoulevardnewsSafety and security of large language models in healthcare - nature.comnewsBenchmarking large language models against practicing clinicians on psychopathological assessment - Nature

Related across the graph

paperSPEARBench: A Benchmark for Naturalness Evaluation in Streaming Speech-to-Speech Language ModelspaperProgressive Refinement: An Iterative Pseudo-Labeling Approach for Mandarin-English Code-Switching ASRpaperBlueMagpie-TTS: A Token-Efficient Tokenizer, Language Model, and TTS for Taiwanese-Accent Code-Switching SpeechnewsSafety and security of large language models in healthcare - nature.compaperEchoes Across Vietnam's Highlands, Delta, and Coast: A Multilingual Corpus for Cham, Khmer, and Tay-NungnewsBenchmarking large language models against practicing clinicians on psychopathological assessment - NaturepaperResample or Reroute? Budget-Aware Test-Time Model Selection for Large Language ModelsnewsLarge Language Models Are Still Getting Stronger, but Researchers Face New Bottlenecks in Data, Evaluation, and Safety | Newswise - NewswisepaperFrom Sinhala to Dhivehi: Cross-Lingual Transfer Learning for Low-Resource Speech RecognitionnewsBook Review: Domain-Specific Small Language Models by Guglielmo IozziapaperComplexity-Guided Component-wise Initialization for Language Model PretrainingnewsFreeBSoD: Leveraging Language Models to Find and Exploit Kernel Bugs (Part 2 of 2) - Security BoulevardnewsIEEE Rolls Out Large Language Models Virtual Training CoursepaperAutoTrainess: Teaching Language Models to Improve Language Models AutonomouslypaperBeyond Benchmarks: Exposing the Hidden Crisis in Bangla Hate Speech DetectionnewsJ-Wash: A novel way to brainwash and customize large language models based on Anthropic's Jacobian-Lens!paperHaloGuard 1.0: An Open Weights Constitutional Classifier for Multilingual AI SafetypaperTone-Conditioned Curriculum Learning for Low-Resource Bantu Speech RecognitionpaperPluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability
Knowledge path·PSPEARBench: A Benchmark for Naturalness Evaluation in Streaming Speech-to-Speech Language Models→PProgressive Refinement: An Iterative Pseudo-Labeling Approach for Mandarin-English Code-Switching ASR→PBlueMagpie-TTS: A Token-Efficient Tokenizer, Language Model, and TTS for Taiwanese-Accent Code-Switching Speech→RPacificAI/langtest

Topics

ai-safetyai-testingartificial-intelligencebenchmark-frameworkbenchmarksethics-in-ailarge-language-modelsllmllm-as-evaluatorllm-evaluation-toolkit

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Graph trust82Primary
Graph score560