e0397123

AM-FM

comp-analysis

Repository for AAAI-2024 Paper - A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators

D-score

Code Repository for IEEE/ACM Transactions on Audio, Speech, and Language Processing Paper - D-score Framework For Open-domain Automatic Dialogue Evaluation

deep-amfm

dstc10_metric_track

The Official Repository for the Automatic Dialogue Evaluation Sub-task of DSTC10 Track 5 (Automatic Evaluation and Moderation of Open-domain Dialogue Systems)

DynaEval

Code Repository For ACL2021 Paper - DynaEval: Unifying Turn and Dialogue Level Evaluation

FineD-Eval

Repository for EMNLP-2022 Paper (FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation)

llama3-from-scratch

llama3 implementation one matrix multiplication at a time

MDD-Eval

Code Repository For AAAI-2022 Paper - MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation

xDial-Eval

Repository for EMNLP-2023 Findings Paper - xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark

e0397123/dstc10_metric_track

The Official Repository for the Automatic Dialogue Evaluation Sub-task of DSTC10 Track 5 (Automatic Evaluation and Moderation of Open-domain Dialogue Systems)

e0397123/DynaEval

Code Repository For ACL2021 Paper - DynaEval: Unifying Turn and Dialogue Level Evaluation

e0397123/FineD-Eval

Repository for EMNLP-2022 Paper (FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation)

e0397123/AM-FM

e0397123/MDD-Eval

Code Repository For AAAI-2022 Paper - MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation

e0397123/xDial-Eval

Repository for EMNLP-2023 Findings Paper - xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark

e0397123/D-score

Code Repository for IEEE/ACM Transactions on Audio, Speech, and Language Processing Paper - D-score Framework For Open-domain Automatic Dialogue Evaluation

e0397123/comp-analysis

Repository for AAAI-2024 Paper - A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators

e0397123/llama3-from-scratch

llama3 implementation one matrix multiplication at a time

e0397123/aiXcoder-7B

official repository of aiXcoder-7B Code Large Language Model

e0397123/alexa-with-dstc10-track2-dataset

DSTC10 Track 2 - Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations

e0397123/BARTScore

BARTScore: Evaluating Generated Text as Text Generation

e0397123/bigbird

Transformers for Longer Sequences

e0397123/e0397123

Config files for my GitHub profile.

e0397123/google-research

Google Research

e0397123/human-eval

Code for the paper "Evaluating Large Language Models Trained on Code"

e0397123/lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

e0397123/mixture-of-experts

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

e0397123/online_dialog_eval

Code for the paper "Learning an Unreferenced Metric for Online Dialogue Evaluation", ACL 2020

e0397123/open-instruct

e0397123/perfect

PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models

e0397123/personal-website

Code that'll help you kickstart a personal website that showcases your work as a software developer.

e0397123/PLMTuningCompetition

擂台赛3-大规模预训练调优比赛的示例代码与baseline实现

e0397123/RiC

Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"

e0397123/SPIN

The official implementation of Self-Play Fine-Tuning (SPIN)

e0397123/t5-dst-modified-pytorch

Modified version of T5-DST for Dialogue State Tracking.

e0397123/Top-AI-Conferences-Paper-with-Code

Top-Conferences-Paper-with-Code (ACL、EMNLP、NAACL、COLING、AAAI、IJCAI、NeurIPS、ICLR and etc)

e0397123/Top-conference-paper-list

A collection of classified and organized top conference paper list.

e0397123/trade-dst

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

e0397123/ttt-lm-pytorch

Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States