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cs.CL2025
Coherent Multimodal Reasoning with Iterative Self-Evaluation for Vision-Language Models
Wenjie Luo, Ruocheng Li, Shanshan Zhu +1
Despite significant advancements, current large language models (LLMs) and vision-language models (LVLMs) continue to struggle with complex, multi-step, cross-modal common sense re…
cs.CL2025
AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control
Ruosen Li, Ziming Luo, Quan Zhang +4
Large reasoning models (LRMs) achieve impressive reasoning capabilities by generating lengthy chain-of-thoughts, but this "overthinking" incurs high latency and cost without commen…