most citedEffective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

9 papers

cs.CV2026

ChartE: A Comprehensive Benchmark for End-to-End Chart Editing

Shuo Li, Jiajun Sun, Zhekai Wang +9

Charts are a fundamental visualization format for structured data analysis. Enabling end-to-end chart editing according to user intent is of great practical value, yet remains chal…

cs.CV2025

The Role of Entropy in Visual Grounding: Analysis and Optimization

Shuo Li, Jiajun Sun, Zhihao Zhang +10

Recent advances in fine-tuning multimodal large language models (MLLMs) using reinforcement learning have achieved remarkable progress, particularly with the introduction of variou…

cs.CL2025

What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study

Xiaoran Fan, Zhichao Sun, Yangfan Gao +19

Speech-language models (SLMs) offer a promising path toward unifying speech and text understanding and generation. However, challenges remain in achieving effective cross-modal ali…

cs.CL2025

WorldPM: Scaling Human Preference Modeling

Binghai Wang, Runji Lin, Keming Lu +17

Motivated by scaling laws in language modeling that demonstrate how test loss scales as a power law with model and dataset sizes, we find that similar laws exist in preference mode…

cs.CL20251 cited

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation

Yi Lu, Wanxu Zhao, Xin Zhou +9

Large Language Models (LLMs) often struggle to process and generate coherent context when the number of input tokens exceeds the pre-trained length. Recent advancements in long-con…

cs.CV2025

Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations

Shuo Li, Jiajun Sun, Guodong Zheng +10

Recently, multimodal large language models (MLLMs) have demonstrated remarkable performance in visual-language tasks. However, the authenticity of the responses generated by MLLMs…