TL;DR
The effectiveness of large language models in transportation mode detection (TMD) remains underexplored, creating a significant research gap in understanding how these models process trajectory data, and which trajectory formats and prompting strategies best support LLM-based inference in human mobility.
Findings characterize model-level behavioral priors relevant to LLM choice and prompt design in AV applications, and show that LLM decisions reflect a mix of model characteristics, linguistic framing, and scenario context.
TRAM (TRajectory-derived Auxiliary Memory), a training-free method that augments standard decoding with an auxiliary memory pathway derived from the model's own reasoning trajectory, shows that TRAM improves performance over vanilla decoding on mathematical, scientific, and general visual reasoning tasks without additi...
This study develops a crash risk prediction model at the individual vehicle level by leveraging the reasoning capability of large language models (LLMs). Instead of using the LLM itself for online prediction, the proposed framework converts LLM reasoning into structured supervision and distills it into a lightweigh...
It is found that full trajectories provide only limited benefit, while partial trajectories are effective even under heavy truncation, and training LLMs using endpoints leads to consistent changes in reasoning behavior, and that it also benefits post-training methods based on reinforcement learning or on-policy distill...
The key observation is that although expert trajectories are scarce, high-quality final artifacts such as literature reviews, analyst reports and legal judgments, are abundant in pre-training data and can be viewed as compressed traces of the evidence-seeking processes that produced them.
Small-object detection remains challenging because limited pixels cause information loss and suppress the scale knowledge encoded in pretrained detectors. Existing approaches mainly improve representations through multiscale training, architecture redesign, or parameter adaptation, implicitly assuming that frozen model...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
