View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $10K - $14K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (41)

[1]
Cross-Tokenizer Likelihood Scoring Algorithms for Language Model Distillation
2025Buu Phan, Ashish Khisti et al.
[2]
Language Models over Canonical Byte-Pair Encodings
2025Tim Vieira, Tianyu Liu et al.
[3]
Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling
2025Ben Lipkin, Benjamin LeBrun et al.
[4]
From Language Models over Tokens to Language Models over Characters
2024Tim Vieira, Benjamin LeBrun et al.
[5]
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
2024Buu Phan, Brandon Amos et al.
[6]
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
2024Yuxuan Yao, Han Wu et al.
[7]
The Llama 3 Herd of Models
2024Abhimanyu Dubey, Abhinav Jauhri et al.
[8]
Cool-Fusion: Fuse Large Language Models without Training
2024Cong Liu, Xiaojun Quan et al.
[9]
The Foundations of Tokenization: Statistical and Computational Concerns
2024Juan Luis Gastaldi, John Terilla et al.
[10]
Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling
2024Yao-Ching Yu, C. Kuo et al.
[11]
Efficient multi-prompt evaluation of LLMs
2024Felipe Maia Polo, Ronald Xu et al.
[12]
Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration
2024Yi-Chong Huang, Xiaocheng Feng et al.
[13]
Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization
2024Costas Mavromatis, Petros Karypis et al.
[14]
Bridging the Gap between Different Vocabularies for LLM Ensemble
2024Yangyifan Xu, Jinliang Lu et al.
[15]
Language Model Cascades: Token-level uncertainty and beyond
2024Neha Gupta, Harikrishna Narasimhan et al.
[16]
Purifying Large Language Models by Ensembling a Small Language Model
2024Tianlin Li, Qian Liu et al.
[17]
Controlled Text Generation via Language Model Arithmetic
2023Jasper Dekoninck, Marc Fischer et al.
[18]
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data
2023Ruoxi Sun, Sercan Ö. Arik et al.
[19]
Large Language Model Routing with Benchmark Datasets
2023Tal Shnitzer, Anthony Ou et al.
[20]
Exploring Demonstration Ensembling for In-context Learning
2023Muhammad Khalifa, Lajanugen Logeswaran et al.

Showing 20 of 41 references

Founder's Pitch

"Innovative approach to ensemble language models using sequential Monte Carlo for improved text generation."

Language ModelsScore: 3View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

0/4 signals

0

Quick Build

1/4 signals

2.5

Series A Potential

0/4 signals

0

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 3/5/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.