Published On Sep 25, 2024
The most important AI research papers and pre-prints for Wednesday, September 25, 2024. Today we travel the world for new AI applications and new methods with a specific focus on MultiModal Models (MMMs).
Steward: Natural Language Web Automation
https://arxiv.org/pdf/2409.15441
SEAL: Suite for Evaluating API-use of LLMs
https://arxiv.org/pdf/2409.15523
RAM2C: A Liberal Arts Educational Chatbot based on Retrieval-augmented Multi-role Multi-expert Collaboration
https://arxiv.org/pdf/2409.15461
A Comprehensive Evaluation of Large Language Models on Mental Illnesses
https://arxiv.org/pdf/2409.15687
AsthmaBot: Multi-modal, Multi-Lingual Retrieval Augmented Generation For Asthma Patient Support
https://arxiv.org/pdf/2409.15815
Automated Assessment of Multimodal Answer Sheets in the STEM domain
https://arxiv.org/pdf/2409.15749
MMPT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
https://arxiv.org/pdf/2409.15657
CLSP: High-Fidelity Contrastive Language-State Pre-training for Agent State Representation
https://arxiv.org/pdf/2409.15806
[multimodal data understanding, CLIP 2.0]
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale
https://arxiv.org/pdf/2409.15637
[Ai machines learn from human manuals]
From Passive Watching to Active Learning: Empowering Proactive Participation in Digital Classrooms with AI Video Assistant
https://arxiv.org/pdf/2409.15843
[humans learn from synthetic videos and Ai tutor]
In-Context Ensemble Improves Video-Language Models for Low-Level Workflow Understanding from Human Demonstrations
https://arxiv.org/pdf/2409.15867
[from ICL to multimodal IC Ensemble Learning]
Planning in the Dark: LLM-Symbolic Planning Pipeline without Experts
https://arxiv.org/pdf/2409.15915
LTNtorch: PyTorch Implementation of Logic Tensor Networks
https://arxiv.org/pdf/2409.16045
[new Neuro-Symbolic framework]
Efficiently Learning Probabilistic Logical Models by Cheaply Ranking Mined Rules
https://arxiv.org/pdf/2409.16238
Thank you to all Ai researcher who publish their result open-source.
All links of today's presented papers are also available in my community tab of this channel.
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