Actualités
Faster and Better LLMs via Latency-Aware Test-Time Scaling
arXiv:2505.19634v4 Announce Type: replace Abstract: Test-Time Scaling (TTS) has proven effective in improving the performance...
FastDiSS: Few-step Match Many-step Diffusion Language Model on Sequence-to-Sequence Generation–Full Version
arXiv:2604.05551v1 Announce Type: new Abstract: Self-conditioning has been central to the success of continuous diffusion...
Fast, Slow, and Tool-augmented Thinking for LLMs: A Review
arXiv:2508.12265v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable progress in reasoning...
FalseReject: A Resource for Improving Contextual Safety and Mitigating Over-Refusals in LLMs via Structured Reasoning
arXiv:2505.08054v1 Announce Type: new Abstract: Safety alignment approaches in large language models (LLMs) often lead...
False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize
arXiv:2509.03888v1 Announce Type: new Abstract: Large Language Models (LLMs) can comply with harmful instructions, raising...
Falcon: A Comprehensive Chinese Text-to-SQL Benchmark for Enterprise-Grade Evaluation
arXiv:2510.24762v1 Announce Type: new Abstract: We introduce Falcon, a cross-domain Chinese text-to-SQL benchmark grounded in...
FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
arXiv:2502.19207v2 Announce Type: replace Abstract: Various studies have attempted to remove sensitive or private knowledge...
Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval Augmented Generation
arXiv:2505.21072v5 Announce Type: replace Abstract: Large Language Models (LLMs) enhanced with retrieval, an approach known...
Faithfulness metric fusion: Improving the evaluation of LLM trustworthiness across domains
arXiv:2512.05700v1 Announce Type: new Abstract: We present a methodology for improving the accuracy of faithfulness...
FAIRChem v2 UMA for Multidomain Atomistic Simulation across Molecules, Catalysts, Materials, Vibrations, and Molecular Dynamics
In this tutorial, we explore FAIRChem v2 and the UMA universal machine-learning interatomic potential as...
Fair-GPTQ: Bias-Aware Quantization for Large Language Models
arXiv:2509.15206v1 Announce Type: new Abstract: High memory demands of generative language models have drawn attention...
Fair Text Classification via Transferable Representations
arXiv:2503.07691v2 Announce Type: replace-cross Abstract: Group fairness is a central research topic in text classification...
