Erik Cambria
- Papers
- 15
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Authored papers
15MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization
arXiv 2025
MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving
arXiv 2025
Neural Brain: A Neuroscience-inspired Framework for Embodied Agents
arXiv 2025
Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization
arXiv 2025
MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback
arXiv 2025
LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence
arXiv 2025
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
arXiv 2024
Sparks of Large Audio Models: A Survey and Outlook
arXiv 2023
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
arXiv 2023
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond
arXiv 2023
Logical Reasoning over Natural Language as Knowledge Representation: A Survey
arXiv 2023
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
arXiv 2023
Language Models as Inductive Reasoners
arXiv 2022
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
arXiv 2020
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
meld-a-multimodal-multi-party-dataset-for-1
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