embedding models 1parameter-efficient modeling 1reinforcement learning 1retrieval-augmented generation 1small language models 1
From the 1 of 6 linked papers with an AI index.
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
Models for minimalist RAG: B1ade 335M Embedding and 1B Parameter Small Language Models
Shreyas Subramanian, Mecit Gungor, Vikram Elango
The paper presents B1ade, a resource‑efficient retrieval‑augmented generation system that combines a 335M parameter embedding model built by fusing five pretrained encoders with a…
cs.CL2025
Plan-and-Write: Structure-Guided Length Control for LLMs without Model Retraining
Adewale Akinfaderin, Shreyas Subramanian, Akarsha Sehwag
Length control in Large Language Models (LLMs) is a crucial but under-addressed challenge, with applications ranging from voice interfaces requiring concise responses to research s…