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Found 4 papers, 4 papers with code
Self-playing Adversarial Language Game Enhances LLM Reasoning
Hence, we are curious about whether LLMs' reasoning ability can be further enhanced by Self-Play in this Adversarial language Game (SPAG).
On Diversified Preferences of Large Language Model Alignment
Our analysis reveals a correlation between the calibration performance of reward models (RMs) and the alignment performance of LLMs.
Adversarial Preference Optimization
Human preference alignment is essential to improve the interaction quality of large language models (LLMs).
Solving Elliptic Problems with Singular Sources using Singularity Splitting Deep Ritz Method
Extensive numerical experiments in two- and multi-dimensional spaces with point sources, line sources or their combinations are presented to illustrate the efficiency of the proposed approach, and a comparative study with several existing approaches based on neural networks is also given, which shows clearly its competitiveness for the specific class of problems.
