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FEEDER: A Pre-Selection Framework for Efficient Demonstration Selection in LLMs
LLMs have demonstrated exceptional performance across multiple tasks by utilizing few-shot inference, also known as...
Feedback Indicators: The Alignment between Llama and a Teacher in Language Learning
arXiv:2508.11364v1 Announce Type: new Abstract: Automated feedback generation has the potential to enhance students’ learning...
Faster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform LLMs
arXiv:2603.02830v1 Announce Type: new Abstract: Predicting future student responses to questions is particularly valuable for...
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...
