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Found 4 papers, 3 papers with code
ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval
We propose ListT5, a novel reranking approach based on Fusion-in-Decoder (FiD) that handles multiple candidate passages at both train and inference time.
Boosting Cross-lingual Transferability in Multilingual Models via In-Context Learning
Existing cross-lingual transfer (CLT) prompting methods are only concerned with monolingual demonstration examples in the source language.
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
In this paper, we present our finding that prepending a Task-Agnostic Prefix Prompt (TAPP) to the input improves the instruction-following ability of various Large Language Models (LLMs) during inference.
External Knowledge Selection with Weighted Negative Sampling in Knowledge-grounded Task-oriented Dialogue Systems
In the experiment, we investigate the effect of weighted negative sampling, post-training, and style transfer.
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