ChuanMeng

ChuanMeng.github.io

QPP-GenRE

QPP4CS

Query Performance Prediction for Conversational Search (QPP4CS)

RLT4Reranking

SIP

Code for the CIKM 2023 long paper: System Initiative Prediction for Multi-turn Conversational Information Seeking

LLM-Next-Item-Rec

Code for the Paper "Zero-Shot Next-Item Recommendation using Large Pretrained Language Models"

README

README文件语法解读，即Github Flavored Markdown语法介绍

standard

:traffic_light: 技术团队开发规范。Code standard for development team.

pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

treccastweb

Conversational-Information-Seeking

A Conversational Information Seeking (CIS) Paper Reading List Maintained by Chuan Meng.

TCT-Repro-VirtualAppendix

FairRecSys

[Official Codes] Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)

RL4Rec

A toolkit of Reinforcement Learning based Recommendation (RL4Rec)

ConvDR

Code repo for SIGIR 2021 paper "Few-Shot Conversational Dense Retrieval"

cqe

Knowledge-Grounded-Conversation

A Knowledge Grounded Conversation (KGC) Paper Reading List Maintained by Chuan Meng.

MIKe

Code for SIGIR-2021 full paper: Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations

DukeNet

Code for SIGIR-2020 full paper: DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation

minimal

Minimal is a Jekyll theme for GitHub Pages

GNN4NLP-Papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

Paper-Reading

Paper reading list in natural language processing, including dialogue system, text summarization, topic modeling, etc.

MT-Reading-List

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

RefNet

Code for AAAI-2020 oral paper: RefNet: A Reference-aware Network for Background Based Conversation

q_pointer_generator

Holl-E

201814828-MengChuan

Data Mining assignment（by supervisor Yin Jianhua）

ParlAI

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

datasets-CMU_DoG

CMU Document Grounded Conversation Dataset

d_bi_att_flow