Search Results for author:
Found 7 papers, 5 papers with code
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics
Chain-of-Thought (CoT) reasoning is widely used to enhance the mathematical reasoning capabilities of large language models (LLMs).
Beamforming Design for Wideband Near-Field Communications With Reconfigurable Refractive Surfaces
To mitigate the beam-split effect, we propose a Delayed-RRS structure, based on which a beamforming scheme is proposed to optimize the user's data rate.
Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability
Our results underscore the potential of leveraging critical tokens to reduce errors in reasoning tasks, advancing the development of AI systems capable of robust logical deduction.
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL
Large Language Models (LLMs) have emerged as powerful tools for Text-to-SQL tasks, exhibiting remarkable reasoning capabilities.
FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant
The rapid advancement of deepfake technologies has sparked widespread public concern, particularly as face forgery poses a serious threat to public information security.
CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
Utilizing CriticBench, we evaluate and dissect the performance of 17 LLMs in generation, critique, and correction reasoning, i. e., GQC reasoning.
Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion
Temporal Knowledge Graph Completion (TKGC) is a complex task involving the prediction of missing event links at future timestamps by leveraging established temporal structural knowledge.
