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Lebih banyak cerita
9 ceritaInovasi
Paper proposes adaptive timing for correcting bias in LLM reasoning
A new preprint proposes triggering bias corrections only when evidence of stereotyping accumulates during an LLM’s reasoning, reporting fewer interventions than fixed-interval methods but important accuracy tradeoffs across model types.arxiv.orgInovasi
Benchmark OmniPhys menguji AI multimodal pada penalaran fisika dan pembuatan diagram
Makalah yang diterima dalam Temuan EMNLP 2026 memperkenalkan OmniPhys, sebuah tolok ukur dari 15.246 soal fisika dan 19.850 gambar yang diambil dari corpora pendidikan Tiongkok. Ini mengevaluasi sistem AI multimodal pada penalaran fisika dan pembuatan diagram fisika terstruktur.arxiv.orgInovasi
DCGC proposes global correction for flawed reasoning in masked diffusion language models
A new arXiv preprint introduces DCGC, a masked-diffusion framework that uses an upstream draft to revise reasoning globally instead of allowing early mistakes to propagate.arxiv.orgInovasi
VietAIDetector offers an open-source detector for Vietnamese AI-generated text
A new arXiv paper introduces VietAIDetector, an open-source zero-shot tool designed to identify AI-generated Vietnamese text without domain-specific training data. The authors say it supports long and scanned documents and outperforms methods developed primarily for English on out-of-domain evaluations.arxiv.orgInovasi
ReliableRAG proposes reliability-guided reasoning chains to reduce misinformation in RAG
An arXiv preprint introduces ReliableRAG, a retrieval-augmented generation framework that scores individual evidence triples for relevance and credibility before constructing multi-step answers.arxiv.orgInovasi
TOPAS proposes workflow-aware scheduling to shorten multi-agent LLM jobs
A new arXiv paper introduces TOPAS, a scheduler that jointly manages cached LLM prefixes and request execution in multi-stage agent workflows. The authors report lower job-completion times than their tested baselines on synthetic workflows and two MetaGPT software-development workloads.arxiv.orgInovasi
EmoVec steers language models toward controllable emotional responses without retraining
A new arXiv paper describes EmoVec, an inference-time method that injects emotion-specific vectors into language models to adjust emotional intensity while preserving the response’s meaning, fluency and coherence, according to experiments reported by the authors.arxiv.orgInovasi
Researchers target attention heads linked to object hallucinations in LLaVA
A preprint reports that targeting 32 attention heads in LLaVA-1.5-7B reduced hallucinated objects in captions on 400 held-out COCO images.arxiv.orgInovasi
JIT-Agent proposes on-the-fly harness generation for AI agents
A new arXiv preprint presents JIT-Agent, a model designed to generate, repair and improve the software harnesses that guide AI agents. The authors report sizable benchmark gains across several language-model families, but the work remains an unreviewed preprint without independent validation in the source.arxiv.org
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