Summary of Identifying Knowledge Editing Types in Large Language Models, by Xiaopeng Li et al.
Identifying Knowledge Editing Types in Large Language Modelsby Xiaopeng Li, Shangwen Wang, Shezheng Song, Bin…
Identifying Knowledge Editing Types in Large Language Modelsby Xiaopeng Li, Shangwen Wang, Shezheng Song, Bin…
Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Modelsby Xin Sky…
Local Search for Integer Quadratic Programmingby Xiang He, Peng Lin, Shaowei CaiFirst submitted to arxiv…
Instruction Embedding: Latent Representations of Instructions Towards Task Identificationby Yiwei Li, Jiayi Shi, Shaoxiong Feng,…
See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learningby Chengxin…
Towards Robust Extractive Question Answering Models: Rethinking the Training Methodologyby Son Quoc Tran, Matt KretchmarFirst…
PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overheadby Tao Tan, Yining Qian,…
Analysis on Riemann Hypothesis with Cross Entropy Optimization and Reasoningby Kevin Li, Fulu LiFirst submitted…
Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translationby Huangyu Dai, Ben…
Law of the Weakest Link: Cross Capabilities of Large Language Modelsby Ming Zhong, Aston Zhang,…