Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding
arXiv:2601.21969v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) often hallucinate, generating content inconsistent with the input. Retrieval-Augmented Generation (RAG)…
On the Impact of Code Comments for Automated Bug-Fixing: An Empirical Study
arXiv:2601.23059v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly relevant in Software Engineering research and practice, with Automated…
Adaptive Edge Learning for Density-Aware Graph Generation
arXiv:2601.23052v1 Announce Type: cross Abstract: Generating realistic graph-structured data is challenging due to discrete structures, variable sizes, and class-specific connectivity…
Effective LoRA Adapter Routing using Task Representations
arXiv:2601.21795v2 Announce Type: replace-cross Abstract: Low-rank adaptation (LoRA) enables parameter efficient specialization of large language models (LLMs) through modular adapters,…
How AI Impacts Skill Formation
arXiv:2601.20245v1 Announce Type: cross Abstract: AI assistance produces significant productivity gains across professional domains, particularly for novice workers. Yet how…
On the Impact of AGENTS.md Files on the Efficiency of AI Coding Agents
arXiv:2601.20404v1 Announce Type: cross Abstract: AI coding agents such as Codex and Claude Code are increasingly used to autonomously contribute…
MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World Environment
arXiv:2601.20335v2 Announce Type: cross Abstract: Recent advances in mobile Graphical User Interface (GUI) agents highlight the growing need for comprehensive…
Person Re-ID in 2025: Supervised, Self-Supervised, and Language-Aligned. What Works?
arXiv:2601.20598v1 Announce Type: cross Abstract: Person Re-Identification (ReID) remains a challenging problem in computer vision. This work reviews various training…
Audio Deepfake Detection in the Age of Advanced Text-to-Speech models
arXiv:2601.20510v1 Announce Type: cross Abstract: Recent advances in Text-to-Speech (TTS) systems have substantially increased the realism of synthetic speech, raising…
