小官 发表于 2025-3-23 11:01:03
http://reply.papertrans.cn/67/6697/669628/669628_11.png牛的细微差别 发表于 2025-3-23 16:28:22
PqE: Zero-Shot Document Expansion for Dense Retrieval with Large Language Modelsual-encoder structure. Addressing this limitation, we introduce Pseudo-query Embedding (PqE), a document expansion approach that eliminates the need for supervised data. By zero-shot prompting large language models (LLMs), we generate a specific number of pseudo-queries for each document, which are比喻好 发表于 2025-3-23 18:04:28
CKF: Conditional Knowledge Fusion Method for CommonSense Question AnsweringIn the knowledge fusion process, existing KG-augmented methods ignore (i) . and (ii) .. As a result, the noise of KG cannot be filtered effectively in the knowledge fusion process. In this paper, we propose a .onditional .nowledge .usion method (CKF) (.). to enhance the commonsense reasoning abilityforecast 发表于 2025-3-23 23:14:49
http://reply.papertrans.cn/67/6697/669628/669628_14.pngSPALL 发表于 2025-3-24 05:35:26
http://reply.papertrans.cn/67/6697/669628/669628_15.png使饥饿 发表于 2025-3-24 08:44:24
Local or Global Optimization for Dialogue Discourse Parsingrevious studies either adopt local optimization to independently select one parent for each utterance or use global optimization to directly get the tree representing the dialogue structure. However, the influence of these two optimization methods remains less explored. In this paper, we aim to systMINT 发表于 2025-3-24 13:22:35
http://reply.papertrans.cn/67/6697/669628/669628_17.png裹住 发表于 2025-3-24 17:59:21
Enhancing Emotional Support Conversation with Cognitive Chain-of-Thought Reasoningrface utterance in conversation, making it difficult to understand the seeker’s deep status and provide effective emotional support through mere dialogue modeling. To address this challenge, we propose CogChain, a cognitive chain-of-thought (CoT) reasoning framework that mimics a human supporter’s c侵略者 发表于 2025-3-24 19:35:14
http://reply.papertrans.cn/67/6697/669628/669628_19.pngguzzle 发表于 2025-3-24 23:21:23
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