24 citations · 51 across the 27 of their papers we have counts for
5 papers · 2 filters
SR-GRPO: Stable Rank as an Intrinsic Geometric Reward for Large Language Model Alignment
Yixuan Tang, Yi Yang
Aligning Large Language Models (LLMs) with human preferences typically relies on external supervision, which faces critical limitations: human annotations are scarce and subjective…
GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
Yixuan Tang, Yi Yang
Domain-specific embedding models have shown promise for applications that require specialized semantic understanding, such as coding agents and financial retrieval systems, often a…
PersonaFuse: A Personality Activation-Driven Framework for Enhancing Human-LLM Interactions
Yixuan Tang, Yi Yang, Ahmed Abbasi
Recent advancements in Large Language Models (LLMs) demonstrate remarkable capabilities across various fields. These developments have led to more direct communication between huma…
Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models
Ningyuan Deng, Hanyu Duan, Yixuan Tang +1
Text embedding models are widely used in natural language processing applications. However, their capability is often benchmarked on tasks that do not require understanding nuanced…
FinMTEB: Finance Massive Text Embedding Benchmark
Yixuan Tang, Yi Yang
Embedding models play a crucial role in representing and retrieving information across various NLP applications. Recent advances in large language models (LLMs) have further enhanc…