HuggingFace
A Theory of Contrastive Learning with Natural Images
Why does contrastive learning with simple images and augmentations yield useful representations for downstream tasks?...
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HuggingFace
MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning
Language models are increasingly used for moral decision-making across diverse linguistic and cultural contexts, yet ...
HuggingFace
Evidence-Backed Video Question Answering
Current Video Large Language Models (Video LLMs) excel in question answering (QA) but largely operate as black boxes,...
HuggingFace
Multi-Agent LLMs Fail to Explore Each Other
Exploration is essential for reliable autonomy in multi-agent systems, yet it remains unclear whether large language ...
arXiv
Active Offline-to-Online Reinforcement Learning
Background: Offline reinforcement learning (RL) enables effective policies to be trained from large, previously colle...
arXiv
Time-Lag-Aware Deep Reinforcement Learning for Flexible Job-Shop Scheduling in PPVC Module Factories
Prefabricated prefinished volumetric construction moves most building work into module factories, whose production fl...
arXiv
Playful AI in Professional Email: A Field Experiment on Tone and Recipient Engagement
Large language models (LLMs) are rapidly reshaping workplace communication, yet whether AI-assisted writing changes h...
arXiv
Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal
Explainability has emerged as a critical requirement for AI-based systems, particularly in safety-critical and regula...
arXiv
StoryTeller: Training-Free Narrative Grounding for Long-Form Audio Description
Long-form audio description (AD) requires more than describing visible actions: it must preserve characters, events, ...
arXiv
Encoder-Side Neuron Identification and Amplification for Acoustic Perception in Large Audio-Language Models
Large audio-language models (LALMs) often underperform on fine-grained, non-semantic attributes of speech, such as a ...
arXiv
Introducing Human-Centeredness in AI-Assisted Lexicography
This paper proposes a human-centered artificial intelligence (HCAI) framework for AI-assisted lexicography. While gen...
arXiv
MM-ToolSandBox: A Unified Framework for Evaluating Visual Tool-Calling Agents
We introduce MM-ToolSandBox, a benchmark and evaluation framework for visually grounded tool-calling agents. The fram...