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20212025
most citedFLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

8 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GR2025★ 8 cited

FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Black Forest Labs, Stephen Batifol, Andreas Blattmann +18

We present evaluation results for FLUX.1 Kontext, a generative flow matching model that unifies image generation and editing. The model generates novel output views by incorporatin…

cs.CL2024★ 8 cited

Banishing LLM Hallucinations Requires Rethinking Generalization

Johnny Li, Saksham Consul, Eda Zhou +9

Despite their powerful chat, coding, and reasoning abilities, Large Language Models (LLMs) frequently hallucinate. Conventional wisdom suggests that hallucinations are a consequenc…

cs.AI2023★ 1 cited

An intelligent tutor for planning in large partially observable environments

Lovis Heindrich, Saksham Consul, Falk Lieder

AI can not only outperform people in many planning tasks, but it can also teach them how to plan better. A recent and promising approach to improving human decision-making is to cr…

cs.AI2021

Optimal To-Do List Gamification for Long Term Planning

Saksham Consul, Jugoslav Stojcheski, Valkyrie Felso +1

Most people struggle with prioritizing work. While inexact heuristics have been developed over time, there is still no tractable principled algorithm for deciding which of the many…

cs.AI2021

Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning

Saksham Consul, Lovis Heindrich, Jugoslav Stojcheski +1

To make good decisions in the real world people need efficient planning strategies because their computational resources are limited. Knowing which planning strategies would work b…