All Posts - Sumit's Diary

All Posts

2025

Teaching Models to Decide When to Retrieve: Adaptive RAG, Part 4 10-05

Probing LLMs' Knowledge Boundary: Adaptive RAG, Part 3 09-27

Deciding When Not to Retrieve: Adaptive RAG, Part 2 09-21

The Hidden Costs of Naive Retrieval: Adaptive RAG, Part 1 09-01

2024

Embedding Collapse in Recommender Systems: Causes, Consequences, and Solutions 11-06

Incorporating Ads into Large Language Models Outputs 08-11

The Evolution of Multi-task Learning Based Video Recommender Systems - Part 2 06-22

The Evolution of Multi-task Learning Based Video Recommender Systems - Part 1 06-16

An Introduction to Multi-Task Learning based Recommender Systems 01-26

A Guide to User Behavior Modeling 01-07

2023

Strategies for Effective and Efficient Text Ranking Using Large Language Models 12-26

Prompting-based Methods for Text Ranking Using Large Language Models 12-20

Generative Retrieval for End-to-End Search Systems 09-06

Representing Users and Items in Large Language Models based Recommender Systems 06-18

Shallow Embedding Models for Heterogeneous Graphs 05-30

Tuning Large Language Models for Recommendation Tasks 05-21

ChatGPT-based Recommender Systems 05-15

Shallow Embedding Models for Homogeneous Graphs 05-07

A Guide to Graph Representation Learning 04-30

Mixture-of-Experts based Recommender Systems 04-23

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