4 papers · 1 filter
AutoEvoEval: An Automated Framework for Evolving Close-Ended LLM Evaluation Data
JiaRu Wu, Mingwei Liu
Large language models (LLMs) have shown remarkable performance on various tasks, but existing evaluation benchmarks are often static and insufficient to fully assess their robustne…
: Generating Instructional Illustrations via Text-Conditioned Diffusion
Jing Bi, Pinxin Liu, Ali Vosoughi +3
The effective communication of procedural knowledge remains a significant challenge in natural language processing (NLP), as purely textual instructions often fail to convey comple…
Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1)
Jing Bi, Susan Liang, Xiaofei Zhou +16
Reasoning is central to human intelligence, enabling structured problem-solving across diverse tasks. Recent advances in large language models (LLMs) have greatly enhanced their re…
Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting
Jiarui Wu, Zhuo Liu, Hangfeng He
Spatial relation hallucinations pose a persistent challenge in large vision-language models (LVLMs), leading to generate incorrect predictions about object positions and spatial co…