Code for ICML 2025 Paper "Highly Compressed Tokenizer Can Generate Without Training"

The official code implementation for "A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search" (SIGIR 2024, Washington, D.C.)

A curated list of PhD, RA, and Intern openings in Computer Science (CS), Electrical & Computer Engineering (ECE), and Artificial Intelligence (AI). For students to explore opportunities and for fac…

On the Theoretical Limitations of Embedding-Based Retrieval

Expand -> Retrieve -> Rerank - simple method with strong results on BRIGHT benchmark

Generative Representational Instruction Tuning

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

Awesome Generative Recommendation papers primarily focused on industry-level applications.

A collection of LogitsProcessors to customize and enhance LLM behavior for specific tasks.

This repository provides the code for implementing RPG described in our KDD'25 paper "Generating Long Semantic IDs in Parallel for Recommendation".

[NeurIPS 2025 Spotlight] Enhancing Training Data Attribution with Representational Optimization

Handout for the tutorial "Creating publication-quality figures with matplotlib"

A curated list for Efficient Large Language Models

[ICLR 2025] BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

An easy-to-use framework for large scale recommendation algorithms.

Bridging LLM and Recommender System.

Official repository for paper "ReasonIR Training Retrievers for Reasoning Tasks".

Machine Learning Engineering Open Book

Enhances Overleaf by allowing article searches and BibTeX retrieval from DBLP and Google Scholar | 通过允许从 DBLP 和 Google Scholar 进行文章搜索和获取 BibTeX 来增强 Overleaf。

🎓Automatically Update Recommendation Papers Daily using Github Actions (Update Every 12th hours)

Official code for ACL2025 "🔍 Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models"

[SIGIR 2025] The official repo for "Scaling Sparse and Dense Retrieval in Decoder-Only LLMs"