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Found 5 papers, 2 papers with code
Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models
In this paper, we propose passage-specific prompt tuning for reranking in open-domain question answering (PSPT): a parameter-efficient method that fine-tunes learnable passage-specific soft prompts, incorporating passage-specific knowledge from a limited set of question-passage relevance pairs.
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers
The integration of Large Language Models (LLMs) in information retrieval has raised a critical reevaluation of fairness in the text-ranking models.
Mathematical Foundation and Corrections for Full Range Head Pose Estimation
This paper presents (1) code and algorithms for inferring coordinate system from provided source code, code for Euler angle application order and extracting precise rotation matrices and the Euler angles, (2) code and algorithms for converting poses from one rotation system to another, (3) novel formulae for 2D augmentations of the rotation matrices, and (4) derivations and code for the correct drawing routines for rotation matrices and poses.
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services
Finally, we apply ESLE to seek new service ports for NTT DOCOMO's bike share services operated in Japan.
PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning
In this paper, Permutation Phase Defense (PPD), is proposed as a novel method to resist adversarial attacks.
