3 papers
cs.AI2026
WorldMAP: Bootstrapping Vision-Language Navigation Trajectory Prediction with Generative World Models
Hongjin Chen, Shangyun Jiang, Tonghua Su +4
Vision-language models (VLMs) and generative world models are opening new opportunities for embodied navigation. VLMs are increasingly used as direct planners or trajectory predict…
cs.CL2026
OmniTrace: A Unified Framework for Generation-Time Attribution in Omni-Modal LLMs
Qianqi Yan, Yichen Guo, Ching-Chen Kuo +4
Modern multimodal large language models (MLLMs) generate fluent responses from interleaved text, image, audio, and video inputs. However, identifying which input sources support ea…
cs.CL2025
Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models
Qianqi Yan, Yue Fan, Hongquan Li +5
Existing Multimodal Large Language Models (MLLMs) are predominantly trained and tested on consistent visual-textual inputs, leaving open the question of whether they can handle inc…