Nsanku benchmark shows current LLMs achieve only modest zero-shot translation scores on 43 Ghanaian languages, with no model reaching both high average performance and high cross-language consistency.
LLMs4All: A Review of Large Language Models Across Academic Disciplines
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CiteAudit supplies a human-validated benchmark and multi-agent verification system that outperforms existing LLMs and commercial tools at detecting hallucinated scientific references.
Identifies two gaps in entropy-based uncertainty for LLM post-training and proposes GCPO to align geometry-aware disagreement measures with reward-based calibration for better gradient regulation.
MegaTrain enables reliable full-precision training of up to 120B parameter LLMs on one H200 GPU with 1.5TB host memory via host-memory streaming, pipelined double-buffered execution, and stateless layer templates, achieving 1.84x throughput over DeepSpeed ZeRO-3 for 14B models.
citing papers explorer
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Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages
Nsanku benchmark shows current LLMs achieve only modest zero-shot translation scores on 43 Ghanaian languages, with no model reaching both high average performance and high cross-language consistency.
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CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era
CiteAudit supplies a human-validated benchmark and multi-agent verification system that outperforms existing LLMs and commercial tools at detecting hallucinated scientific references.
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Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization
Identifies two gaps in entropy-based uncertainty for LLM post-training and proposes GCPO to align geometry-aware disagreement measures with reward-based calibration for better gradient regulation.
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MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU
MegaTrain enables reliable full-precision training of up to 120B parameter LLMs on one H200 GPU with 1.5TB host memory via host-memory streaming, pipelined double-buffered execution, and stateless layer templates, achieving 1.84x throughput over DeepSpeed ZeRO-3 for 14B models.