Papers by Annie Chen

2 papers
Basreh or Basra? Geoparsing Historical Locations in the Svoboda Diaries (2024.acl-srw)

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Challenge: In the historical domain, many geoparsing corpora are from large news collections.
Approach: They propose a pipeline employing named entity recognition for geotagging and a map-based generate-and-rank approach incorporating candidate name augmentation and clustering of location context words for geocoding.
Outcome: The proposed pipeline outperforms existing map-based geoparsers in terms of accuracy, lowest mean distance error, and number of locations correctly identified.
Calibrating Language Models with Adaptive Temperature Scaling (2024.emnlp-main)

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Challenge: Large language models' confidence scores are degraded after fine-tuning with reinforcement learning from human feedback.
Approach: They propose a post-hoc calibration method that predicts a temperature scaling parameter for each token prediction.
Outcome: Adaptive temperature scaling improves calibration by over 10% compared to prior methods . RLHF fine-tuning improves model accuracy, but degradation is not significant .

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