ExeCRE is an Execution-Consistency guided code Reliability Estimation framework that estimates code reliability by statistically analyzing consistency patterns in execution outputs over a large number of randomly generated inputs, and applies the Dawid-Skene model to infer latent code reliability.
Yirui Dong, Richong Zhang, Fanshuang Kong et al.· 0 citations
Document Embedding Preservation Tuning (DEPT) is introduced, which keeps tuned document embeddings close to cached initial embeddings while allowing retrieval gradients to pass through straight-through decoding into the generator.
Jingyuan Wang, Richong Zhang, Zhijie Nie et al.· 0 citations
This work defines model-specific Token and Phrase Representativeness Scores (TRS/PRS) to discover tokens and key phrases that appear in a document but are poorly expressed by its embedding, which improve retrieval on a constructed hard-positive benchmark and can also improve standard in-domain retrieval benchmarks.