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20192026
most citedDiffusion-GAN: Training GANs with Diffusion

66 citations · 167 across the 53 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Boundary-Aware NL2SQL: Integrating Reliability through Hybrid Reward and Data Synthesis

Songsong Tian, Kongsheng Zhuo, Zhendong Wang +3

In this paper, we present BAR-SQL (Boundary-Aware Reliable NL2SQL), a unified training framework that embeds reliability and boundary awareness directly into the generation process…

cs.CL2025

SHANKS: Simultaneous Hearing and Thinking for Spoken Language Models

Cheng-Han Chiang, Xiaofei Wang, Linjie Li +7

Current large language models (LLMs) and spoken language models (SLMs) begin thinking and taking actions only after the user has finished their turn. This prevents the model from i…

cs.CL2025

STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models

Cheng-Han Chiang, Xiaofei Wang, Linjie Li +7

Spoken Language Models (SLMs) are designed to take speech inputs and produce spoken responses. However, current SLMs lack the ability to perform an internal, unspoken thinking proc…

cs.CL2024

Self-Augmented Preference Optimization: Off-Policy Paradigms for Language Model Alignment

Yueqin Yin, Zhendong Wang, Yujia Xie +2

Traditional language model alignment methods, such as Direct Preference Optimization (DPO), are limited by their dependence on static, pre-collected paired preference data, which h…

cs.CL2024★ 2 cited

Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts

Yueqin Yin, Zhendong Wang, Yi Gu +3

In the field of large language models (LLMs), aligning models with the diverse preferences of users is a critical challenge. Direct Preference Optimization (DPO) has played a key r…