Tag: frontier large language models
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Optimality of Large Language Models in AI Planning Tasks
Explore how large language models achieve optimal planning in complex AI tasks, outperforming traditional algorithms with advanced reasoning.
Neuro-Symbolic Dual Memory for Long-Horizon LLM Agents
Discover a neuro-symbolic dual memory framework that improves long-horizon LLM agents by reducing errors and enhancing decision-making accuracy.
AutoVerifier: Automated Verification with Large Language Models
AutoVerifier uses large language models to automate technical claim verification, enhancing accuracy and reliability in scientific research analysis.
Do Audio-Visual Large Language Models Truly See and Hear?
Explore how Audio-Visual Large Language Models integrate audio and visual inputs, revealing challenges in multimodal perception and training biases.
Reducing LLM Biases with Debiasing Direct Preference Optimization
Discover how Debiasing-DPO reduces LLM biases from spurious social contexts, improving accuracy and fairness in high-stakes decision-making.