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cs.CL2025

11Plus-Bench: Demystifying Multimodal LLM Spatial Reasoning with Cognitive-Inspired Analysis

Chengzu Li, Wenshan Wu, Huanyu Zhang +6

For human cognitive process, spatial reasoning and perception are closely entangled, yet the nature of this interplay remains underexplored in the evaluation of multimodal large la…

cs.CL2025

VibeVoice Technical Report

Zhiliang Peng, Jianwei Yu, Wenhui Wang +10

This report presents VibeVoice, a novel model designed to synthesize long-form speech with multiple speakers by employing next-token diffusion, which is a unified method for modeli…

cs.CL2025

Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks

Fangru Lin, Shaoguang Mao, Emanuele La Malfa +7

Language is not monolithic. While benchmarks, including those designed for multiple languages, are often used as proxies to evaluate the performance of Large Language Models (LLMs)…

cs.CL2025

Imagine while Reasoning in Space: Multimodal Visualization-of-Thought

Chengzu Li, Wenshan Wu, Huanyu Zhang +5

Chain-of-Thought (CoT) prompting has proven highly effective for enhancing complex reasoning in Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs). Yet, it s…

cs.CL2024

MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark

Qihao Zhao, Yangyu Huang, Tengchao Lv +8

Multiple-choice question (MCQ) datasets like Massive Multitask Language Understanding (MMLU) are widely used to evaluate the commonsense, understanding, and problem-solving abiliti…

cs.CL2024

1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Jinheng Wang, Hansong Zhou, Ting Song +5

Recent advances in 1-bit Large Language Models (LLMs), such as BitNet and BitNet b1.58, present a promising approach to enhancing the efficiency of LLMs in terms of speed and energ…