Starred repositories
DCN V2 model with transformer layers to predict CTR of Avito dataset
Production-grade short-video recommender on 12.5M real interactions — transformer ranking, Kafka→Redis online features, contextual bandit with ground-truth-audited off-policy evaluation, drift-trig…
Gradient-norm-based LoRA rank pre-allocation for transformer fine-tuning
LYRA — Low-frequencY Rank Adaptation for ultra-low parameter fine tuning of transformers. Published at https://ieeexplore.ieee.org/abstract/document/11613143
Nearest Neighbor at Every Length: Rank-One Softmax and Hardmax Transformers
Run OpenAI's CLIP and Apple's MobileCLIP model on iOS to search photos.
一个面向本地环境的 OCR、翻译与文献阅读工具箱,基于离线部署"GLM-OCR+HY-MT1.5-1.8B"。一台 M 系列 Mac,或者一台带独立显卡的普通笔记本,通常就可以把这个项目跑起来。
Public snapshot of OPTAgent with additive action-tree v2 policy evolution.
Injecting First-stage Retriever score into the input of cross-encoder re-rankers in a knowledge distillation training setup
Large-scale e-commerce recommendation engine with memory-efficient co-visitation, leakage-safe evaluation, feature engineering, and LightGBM LambdaRank reranking.
Experimenting with the benefits and downsides of using an LLM alongside BM25 for product search relevance.
An implementation of fair ranking algorithms to ensure equitable exposure and relevance in transaction processing and search results.
Official code for the paper "A New Role for Relevance: Guiding Corpus Interaction in Agentic Search"
Engine-agnostic search-relevance core (instruction rerank steering, LLM category-match, query rewrite, tiered escalation, eval metrics) on @papercusp/rerank. Shared by Restart + papercup.
Offline search relevance judging harness
Data fusion for heterogeneous treatment effect estimation with multi-task Gaussian Processes
Multimodal multi-task short-video recommendation with PLE/MMoE/SharedBottom architectures, uncertainty weighting, and PCGrad optimization. 48+ experiments on THU-ShortVideo dataset with Qwen LLM em…
DCRMTA: Deep Causal Representation for Multi-Touch Attribution
find a segment that has length k among plenty of points by distribute sql within O(n) time complexity
PriCoRec research code, accepted at the 20th ACM Conference on Recommender Systems (RecSys 2026).
HOAM A Hybrid Orthogonal Attention Network for High-Precision, High-Efficiency Industrial Visual Search
Industrial-grade implementation of seq2seq algorithm based on Pytorch, integrated beam search algorithm.
Controllable Multi-Objective Re-ranking with Policy Hypernetworks (KDD 2023)
Multi-objective marketplace ranking engine balancing revenue, conversion, and new-provider cold-start.
RLProp — results-level proportional selection for multi-objective recommender systems: pick top-k items so relevance, diversity, novelty & fairness appear in the ratios you set, via mandate-allocat…
CALISSTA: calibrated recommendations at candidate-retrieval time via sparse-autoencoder steering + D'Hondt aggregation. Model- and dataset-agnostic (bring your own RS backbone/SAE, genres, tags, ca…