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Results for “llm”
Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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LLMs1 min read
Quoting Jakub Pachocki
The strongest argument I see for continuing to train much smarter models quickly is the need to build defensive systems against the dangers posed by other AI. [...] We will need powerful, aligned AI for defense; to secure infrastructure,...
From Simon Willison
LLMs1 min read
Mercator ↔ Equal Earth
Tool: Mercator ↔ Equal Earth I got curious about the Equal Earth map projection that was recently voted on at the UN so I had GPT-6 Astra (medium) in ChatGPT Work build me this animated transition between Mercator and Equal Earth using D...
From Simon Willison
LLMs1 min read
Circuit overlap predicts LLM generalization across arithmetic formats
Research shows that overlap with internal circuits in LLMs can predict their ability to generalize arithmetic reasoning across different formats and languages.
From arXiv cs.CL
LLMs1 min read
Multi-Resolution Approach for Interpreting Human Behavioral Traces
A multi-resolution framework is proposed for interpreting human activity traces in workplace agents, capturing different temporal scales for better understanding and prediction.
From arXiv cs.CL
LLMs1 min read
Insights into how training influences audio evidence use in Audio LLMs
The study examines internal changes in Audio LLMs when trained on data that requires audio for answer determination, highlighting how acoustic information impacts model representations and predictions.
From arXiv cs.CL
LLMs1 min read
Calibrated Reflection Approach Improves Confidence Estimation in LLMs
A new framework combines structured reasoning and distance-aware calibration to enhance confidence estimation in LLMs, evaluated on diverse datasets.
From arXiv cs.CL
LLMs1 min read
LETHE: Self-Referential GAN-Inspired Architecture for Audio Processing
LETHE is a self-referential system implemented in SuperCollider that evolves audio parameters through a GAN-like process without external datasets or supervision.
From arXiv cs.CL
LLMs1 min read
GRACE framework grounds LLM claims with knowledge graphs for improved verification
GRACE deconstructs LLM responses into claims, grounds them against knowledge priors, and classifies their validity, enabling efficient expert verification and knowledge expansion.
From arXiv cs.CL
LLMs1 min read
TRILOGUE: Multilingual Spoken Dialogue Fact-Checking Benchmark
TRILOGUE is a large-scale trilingual benchmark for spoken dialogue fact-checking, including audio, transcripts, and turn-level labels across English, Russian, and Kazakh.
From arXiv cs.CL
LLMs1 min read
Evaluation of Cross-Cultural Bias in Open-Weight Large Language Models
Three open-weight LLMs were assessed for demographic misalignment across countries using Wasserstein distance; targeted fine-tuning reduced bias but redistributed it among personas.
From arXiv cs.CL
LLMs1 min read
VERGE workflow improves extraction of colorectal cancer symptoms from clinical notes
VERGE is an agentic workflow that enhances extraction accuracy of symptoms and risk factors from clinical notes, reducing false positives and requiring minimal human review.
From arXiv cs.CL
LLMs1 min read
Scale-QLoRA Enables Code-Invariant Merging for 4-bit LLMs
Scale-QLoRA adapts only the native scale fields during merging, preserving the code plane and enabling accurate, fast, and lifecycle-friendly deployment of 4-bit models.
From arXiv cs.CL
LLMs1 min read
Boundary-Aware Self-Distillation for Controlled LLM Safety Refusal
A framework for training language models to refuse harmful or targeted queries, improving safety boundaries while maintaining factual answering capabilities.
From arXiv cs.CL
Research1 min read
Improving LLMs can increase systemic risk in financial markets
Enhanced capabilities in large language models may lead to more correlated behaviors, increasing systemic risk, especially when models share reasoning or misinformation environments.
From arXiv cs.AI
Research1 min read
IPGeoAI: Transformer Model for City-Level IP Geolocation with Semantic Fusion
IPGeoAI uses a Transformer Encoder and LLM-derived semantic features to improve city-level IP geolocation accuracy and coverage, outperforming traditional methods.
From arXiv cs.AI
Research1 min read
La Agente 'Optima' enables persistent Bayesian optimization in SDLs
La Agente 'Optima' is an agentic framework that manages Bayesian optimization campaigns across systems, maintaining a persistent state and separating reasoning from execution, improving automation and auditability.
From arXiv cs.AI
LLMs1 min read
Study reveals how attention and recurrence function in hybrid language models
Hybrid language models use attention and recurrent states with distinct roles; attention handles retrieval, recurrence influences output generation. Interventions clarify their functions.
From arXiv cs.CL
LLMs1 min read
Corpus choice influences dependency-distance estimates across languages
Dependency-distance estimates vary significantly across corpora, with nearly 40% of language orderings reversed when substituting treebanks. This suggests corpus factors impact these measurements more than language properties.
From arXiv cs.CL
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