· ai
[Paper] Feedforward 3D Editing via Text-Steerable Image-to-3D
Recent progress in image-to-3D has opened up immense possibilities for design, AR/VR, and robotics. However, to use AI-generated 3D assets in real applications,...
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- · ai
[Paper] JoVA: Unified Multimodal Learning for Joint Video-Audio Generation
In this paper, we present JoVA, a unified framework for joint video-audio generation. Despite recent encouraging advances, existing methods face two critical li...
- · ai
[Paper] Towards Effective Model Editing for LLM Personalization
Personalization is becoming indispensable for LLMs to align with individual user preferences and needs. Yet current approaches are often computationally expensi...
- · ai
[Paper] Towards Interactive Intelligence for Digital Humans
We introduce Interactive Intelligence, a novel paradigm of digital human that is capable of personality-aligned expression, adaptive interaction, and self-evolu...
- · ai
[Paper] Directional Textual Inversion for Personalized Text-to-Image Generation
Textual Inversion (TI) is an efficient approach to text-to-image personalization but often fails on complex prompts. We trace these failures to embedding norm i...
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[Paper] A Scientific Reasoning Model for Organic Synthesis Procedure Generation
Solving computer-aided synthesis planning is essential for enabling fully automated, robot-assisted synthesis workflows and improving the efficiency of drug dis...
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[Paper] A stylometric analysis of speaker attribution from speech transcripts
Forensic scientists often need to identify an unknown speaker or writer in cases such as ransom calls, covert recordings, alleged suicide notes, or anonymous on...
- · ai
[Paper] SEDULity: A Proof-of-Learning Framework for Distributed and Secure Blockchains with Efficient Useful Work
The security and decentralization of Proof-of-Work (PoW) have been well-tested in existing blockchain systems. However, its tremendous energy waste has raised c...
- · ai
[Paper] Embedding-Based Rankings of Educational Resources based on Learning Outcome Alignment: Benchmarking, Expert Validation, and Learner Performance
As the online learning landscape evolves, the need for personalization is increasingly evident. Although educational resources are burgeoning, educators face ch...
- · ai
[Paper] Comparative Analysis of LLM Abliteration Methods: A Cross-Architecture Evaluation
Safety alignment mechanisms in large language models prevent responses to harmful queries through learned refusal behavior, yet these same mechanisms impede leg...
- · ai
[Paper] Large-Language Memorization During the Classification of United States Supreme Court Cases
Large-language models (LLMs) have been shown to respond in a variety of ways for classification tasks outside of question-answering. LLM responses are sometimes...
- · ai
[Paper] World Models Can Leverage Human Videos for Dexterous Manipulation
Dexterous manipulation is challenging because it requires understanding how subtle hand motion influences the environment through contact with objects. We intro...