coherence

MovieGrid is a multi-grid post-training paradigm that decomposes long videos into spatially arranged chunks to improve multi-shot coherence and efficiency, achieving state-of-the-art intra-shot and inter-shot consistency in video generation.

This article explains the concept of coherence in typeclass systems and discusses orphan instance rules in programming languages, with examples in Haskell and Rust.

This paper presents a unified benchmark comparing outline-driven frameworks for long-form generation with LLMs, evaluating outlines independently and finding that performance varies with framework-granularity match, supporting the decoupling of outline and writing stages.

The author shares their experience with AI-generated video sequences, highlighting the challenge of maintaining visual consistency across shots and the narrowing gap between AI clips and film-like sequences.

This arXiv paper presents the Dream Scene Visualiser (DSV), a system that converts written dream descriptions into a coherent four-panel visual sequence using an LLM for narrative splitting and text-to-image models with feedback for visual and semantic coherence.

Google Genie 3 allows users to type a prompt and walk around AI-generated game worlds, sparking debate about whether procedural coherence matters or if impressive visuals alone suffice for player engagement.

This paper proposes a multi-factor scoring system for evaluating LLM responses, integrating accuracy, conciseness, factual consistency, readability, and coherence. Applied to the TruthfulQA dataset, it reveals strengths and limitations of mainstream models, offering a transparent evaluation framework.

UnityShots is a memory-driven multi-shot audio-video generation system that maintains consistent subject appearance and audio across video cuts using fixed-size long-term and short-term memory slots with boundary-conditioned gates and discrete cut-type priors. It outperforms open-source baselines on cross-shot coherence metrics and matches closed-source systems.

This paper introduces coherence, a geometric constraint for neural representations inspired by grid cells and head direction cells in the brain. Coherence ensures that features respond to geometrically connected regions of the data manifold, improving interpretability; the authors propose a differentiable objective (Coh) and validate it on synthetic data, rotated MNIST, and BERT token embeddings.

This paper explores using LLMs to predict state changes within rule-based interactive storytelling systems, aiming to improve coherence and player expression. Experiments with Llama 3 70B and Gemini 1.5 Flash show that world-state transformations can maintain consistency while encouraging creative player input.

This paper identifies KV-cache contamination as a failure mode for activation steering in dialogue and proposes GCAD, a method that extracts steering signals from prompt contributions and applies token-level gating to improve long-horizon coherence, achieving substantial gains on multi-turn benchmarks.

Developer reports that small-active-parameter MOE models like qwen3.6-35b-A3b exhibit lower coherence and require more guidance than dense qwen3.5-27b, making them hard to slot into agentic workflows.