source: rss

title: Thematic Working Group 5 -- Artificial Intelligence (AI) literacy for teaching and learning: design and implementation

summary: arXiv:2601.08380v1 Announce Type: new Abstract: TWG 5 focused on developing and implementing effective strategies for enhancing AI literacy and agency of teachers, equipping them with the knowledge and skills necessary to integrate AI into their teaching practices. Explorations covered curriculum design, professional development programs, practical classroom applications, and policy guidelines aiming to empower educators to confidently utilize AI tools and foster a deeper understanding of AI concepts among students.


title: Sketch-Based Facade Renovation With Generative AI: A Streamlined Framework for Bypassing As-Built Modelling in Industrial Adaptive Reuse

summary: arXiv:2601.08531v1 Announce Type: new Abstract: Facade renovation offers a more sustainable alternative to full demolition, yet producing design proposals that preserve existing structures while expressing new intent remains challenging. Current workflows typically require detailed as-built modelling before design, which is time-consuming, labour-intensive, and often involves repeated revisions. To solve this issue, we propose a three-stage framework combining generative artificial intelligence (AI) and vision-language models (VLM) that directly processes rough structural sketch and textual de


title: Introducing Axlerod: An LLM-based Chatbot for Assisting Independent Insurance Agents

summary: arXiv:2601.09715v1 Announce Type: cross Abstract: The insurance industry is undergoing a paradigm shift through the adoption of artificial intelligence (AI) technologies, particularly in the realm of intelligent conversational agents. Chatbots have evolved into sophisticated AI-driven systems capable of automating complex workflows, including policy recommendation and claims triage, while simultaneously enabling dynamic, context-aware user engagement. This paper presents the design, implementation, and empirical evaluation of Axlerod, an AI-powered conversational interface designed to improve


title: SuperEar: Eavesdropping on Mobile Voice Calls via Stealthy Acoustic Metamaterials

summary: arXiv:2501.15032v2 Announce Type: replace-cross Abstract: Acoustic eavesdropping is a privacy risk, but existing attacks rarely work in real outdoor situations where people make phone calls on the move. We present SuperEar, the first portable system that uses acoustic metamaterials to reliably capture conversations in these scenarios. We show that the threat is real as a practical prototype can be implemented to enhance faint signals, cover the full range of speech with a compact design, and reduce noise and distortion to produce clear audio. We show that SuperEar can be implemented from low-c


title: PRISM: Learning Design Knowledge from Data for Stylistic Design Improvement

summary: arXiv:2601.11747v1 Announce Type: new Abstract: Graphic design often involves exploring different stylistic directions, which can be time-consuming for non-experts. We address this problem of stylistically improving designs based on natural language instructions. While VLMs have shown initial success in graphic design, their pretrained knowledge on styles is often too general and misaligned with specific domain data. For example, VLMs may associate minimalism with abstract designs, whereas designers emphasize shape and color choices. Our key insight is to leverage design data -- a collection o


title: ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents

summary: arXiv:2601.12294v1 Announce Type: new Abstract: Reward-guided search methods have demonstrated strong potential in enhancing tool-using agents by effectively guiding sampling and exploration over complex action spaces. As a core design, those search methods utilize process reward models (PRMs) to provide step-level rewards, enabling more fine-grained monitoring. However, there is a lack of systematic and reliable evaluation benchmarks for PRMs in tool-using settings. In this paper, we introduce ToolPRMBench, a large-scale benchmark specifically designed to evaluate PRMs for tool-using agents.


title: A Lightweight Modular Framework for Constructing Autonomous Agents Driven by Large Language Models: Design, Implementation, and Applications in AgentForge

summary: arXiv:2601.13383v1 Announce Type: new Abstract: The emergence of LLMs has catalyzed a paradigm shift in autonomous agent development, enabling systems capable of reasoning, planning, and executing complex multi-step tasks. However, existing agent frameworks often suffer from architectural rigidity, vendor lock-in, and prohibitive complexity that impedes rapid prototyping and deployment. This paper presents AgentForge, a lightweight, open-source Python framework designed to democratize the construction of LLM-driven autonomous agents through a principled modular architecture. AgentForge introdu


summary: arXiv:2601.12294v1 Announce Type: cross Abstract: Reward-guided search methods have demonstrated strong potential in enhancing tool-using agents by effectively guiding sampling and exploration over complex action spaces. As a core design, those search methods utilize process reward models (PRMs) to provide step-level rewards, enabling more fine-grained monitoring. However, there is a lack of systematic and reliable evaluation benchmarks for PRMs in tool-using settings. In this paper, we introduce ToolPRMBench, a large-scale benchmark specifically designed to evaluate PRMs for tool-using agents


title: CORVUS: Red-Teaming Hallucination Detectors via Internal Signal Camouflage in Large Language Models

summary: arXiv:2601.14310v1 Announce Type: cross Abstract: Single-pass hallucination detectors rely on internal telemetry (e.g., uncertainty, hidden-state geometry, and attention) of large language models, implicitly assuming hallucinations leave separable traces in these signals. We study a white-box, model-side adversary that fine-tunes lightweight LoRA adapters on the model while keeping the detector fixed, and introduce CORVUS, an efficient red-teaming procedure that learns to camouflage detector-visible telemetry under teacher forcing, including an embedding-space FGSM attention stress test. Train


summary: arXiv:2601.14310v1 Announce Type: new Abstract: Single-pass hallucination detectors rely on internal telemetry (e.g., uncertainty, hidden-state geometry, and attention) of large language models, implicitly assuming hallucinations leave separable traces in these signals. We study a white-box, model-side adversary that fine-tunes lightweight LoRA adapters on the model while keeping the detector fixed, and introduce CORVUS, an efficient red-teaming procedure that learns to camouflage detector-visible telemetry under teacher forcing, including an embedding-space FGSM attention stress test. Trained


title: Qwen3-TTS Family Is Now Open Sourced: Voice Design, Clone, and Generation

summary:
Article URL: https://qwen.ai/blog?id=qwen3tts-0115

Comments URL: https://news.ycombinator.com/item?id=46719229

Points: 5

# Comments: 0


summary:
Article URL: https://qwen.ai/blog?id=qwen3tts-0115

Comments URL: https://news.ycombinator.com/item?id=46719229

Points: 14

# Comments: 1


summary:
Article URL: https://qwen.ai/blog?id=qwen3tts-0115

Comments URL: https://news.ycombinator.com/item?id=46719229

Points: 98

# Comments: 16


summary:
Article URL: https://qwen.ai/blog?id=qwen3tts-0115

Comments URL: https://news.ycombinator.com/item?id=46719229

Points: 118

# Comments: 19


summary:
Article URL: https://qwen.ai/blog?id=qwen3tts-0115

Comments URL: https://news.ycombinator.com/item?id=46719229

Points: 140

# Comments: 24


summary:
Article URL: https://qwen.ai/blog?id=qwen3tts-0115

Comments URL: https://news.ycombinator.com/item?id=46719229

Points: 156

# Comments: 30


summary:
Article URL: https://qwen.ai/blog?id=qwen3tts-0115

Comments URL: https://news.ycombinator.com/item?id=46719229

Points: 184

# Comments: 45


summary:
Article URL: https://qwen.ai/blog?id=qwen3tts-0115

Comments URL: https://news.ycombinator.com/item?id=46719229

Points: 199

# Comments: 47


summary:
Article URL: https://qwen.ai/blog?id=qwen3tts-0115

Comments URL: https://news.ycombinator.com/item?id=46719229

Points: 255

# Comments: 70


summary:
Article URL: https://qwen.ai/blog?id=qwen3tts-0115

Comments URL: https://news.ycombinator.com/item?id=46719229

Points: 267

# Comments: 77


summary:
Article URL: https://qwen.ai/blog?id=qwen3tts-0115

Comments URL: https://news.ycombinator.com/item?id=46719229

Points: 273

# Comments: 80


summary:
Article URL: https://qwen.ai/blog?id=qwen3tts-0115

Comments URL: https://news.ycombinator.com/item?id=46719229

Points: 301

# Comments: 89


title: Qwen3-TTS family is now open sourced: Voice design, clone, and generation

summary:
Article URL: https://qwen.ai/blog?id=qwen3tts-0115

Comments URL: https://news.ycombinator.com/item?id=46719229

Points: 341

# Comments: 103


summary:
Article URL: https://qwen.ai/blog?id=qwen3tts-0115

Comments URL: https://news.ycombinator.com/item?id=46719229

Points: 370

# Comments: 107