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- Source code of our paper "PairDistill: Pairwise Relevance Distillation for Dense Retrieval", EMNLP 2024 Main.
EditLLM-Survey
PublicPersonaLLM-Survey
PublicRAG-Self-Preference
PublicDogeRM
PublicThe code used in the paper "DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging"UnseenAdapt
PublicFactAlign
PublicSource code of our EMNLP 2024 paper "FactAlign: Long-form Factuality Alignment of Large Language Models"SalesAgent
PublicASMR
PublicTaiwan-LLM
PublicTraditional Mandarin LLMs for TaiwanTMLU
PublicSynData-Survey
PublicVisualDialog
PublicLLMEval-Survey
PublicInstUPR
PublicSource code of our paper "InstUPR: Instruction-based Unsupervised Passage Reranking with Large Language Models"GenIR-Survey
PublicUMR
PublicSource code of our paper "Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling", Findings of EACL 2024.CONVERSER
PublicCONVERSER: Few-Shot Conversational Dense Retrieval with Synthetic Data Generation, SIGDIAL 2023PLM-ICD
PublicUnseenDRE
PublicLLM-Eval
PublicVisualLU
PublicImplicitBot
PublicTC-Bot
PublicUser Simulation for Task-Completion DialoguesConvADR-QA
PublicSpokenCSE
PublicLattice-ELMo
PublicSpokenVec
PublicQAInfomax
PublicFlowDelta
PublicFlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension