MapTab is a new multimodal benchmark with 328 images and nearly 200k queries that shows current MLLMs have substantial difficulty with multi-criteria route planning when visual and tabular information must be combined.
Understand- ing the repeat curse in large language models from a feature perspective
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Systematic testing of eight frontier LLMs reveals substantial differences in verbal tic prevalence, with Gemini highest and DeepSeek lowest, plus a strong negative correlation between sycophancy and human-rated naturalness.
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MapTab: Are MLLMs Ready for Multi-Criteria Route Planning in Heterogeneous Graphs?
MapTab is a new multimodal benchmark with 328 images and nearly 200k queries that shows current MLLMs have substantial difficulty with multi-criteria route planning when visual and tabular information must be combined.
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The Rise of Verbal Tics in Large Language Models: A Systematic Analysis Across Frontier Models
Systematic testing of eight frontier LLMs reveals substantial differences in verbal tic prevalence, with Gemini highest and DeepSeek lowest, plus a strong negative correlation between sycophancy and human-rated naturalness.