Tagged articles

ablation study

6 articles · Page 1 of 1

Aug 4, 2026 · Artificial Intelligence

Why Claude Code’s Harness Only Lasts Six Months – Boris Cherny’s 10 Tips for AI Practitioners

In a YC interview, Boris Cherny, the creator of Claude Code, urges AI product teams to repeatedly delete and test system prompts, adopt ablation studies, and embrace concepts like Product Overhang and Unhobbling, offering ten concrete recommendations for building and evaluating generative AI systems.

AI adviceAI productClaude

0 likes · 10 min read

Why Claude Code’s Harness Only Lasts Six Months – Boris Cherny’s 10 Tips for AI Practitioners

Machine Learning Algorithms & Natural Language Processing

Jun 17, 2026 · Artificial Intelligence

Is More Chain‑of‑Thought Always Better? Introducing E‑GRM for On‑Demand LLM Reasoning

The article critically examines the assumption that longer chain‑of‑thought reasoning always improves large language model performance, presents the E‑GRM framework that dynamically decides when to invoke full CoT based on model‑internal uncertainty, and validates its efficiency and accuracy gains through extensive experiments and ablations.

Dynamic RoutingEfficiencyGenerative Reward Model

0 likes · 16 min read

Is More Chain‑of‑Thought Always Better? Introducing E‑GRM for On‑Demand LLM Reasoning

PaperAgent

May 2, 2026 · Artificial Intelligence

Can Harnesses Self‑Evolve? Fudan & Peking University’s Agentic Harness Engineering Breakthrough

The paper introduces Agentic Harness Engineering (AHE), showing that a 10‑round evolution improves Coding Agent pass@1 from 69.7% to 77.0% on Terminal‑Bench 2—outperforming Codex‑CLI—and that the evolved harness transfers zero‑shot to SWE‑bench and multiple model families, thanks to three observability pillars.

Coding AgentHarness Engineeringablation study

0 likes · 11 min read

Can Harnesses Self‑Evolve? Fudan & Peking University’s Agentic Harness Engineering Breakthrough

Bighead's Algorithm Notes

Oct 21, 2025 · Artificial Intelligence

KANMixer: A New KAN‑Centric Paradigm for Long‑Term Time Series Forecasting

This article reviews the KANMixer model, which places Kolmogorov‑Arnold Networks at the core of a lightweight architecture for long‑term time series forecasting, detailing its design, extensive benchmark experiments on seven real‑world datasets, ablation analyses, and its computational trade‑offs versus MLP and Transformer baselines.

KANLong-term Time Series ForecastingMLP

0 likes · 8 min read

KANMixer: A New KAN‑Centric Paradigm for Long‑Term Time Series Forecasting

Bighead's Algorithm Notes

Oct 17, 2025 · Artificial Intelligence

Exploring MLLM4TS: A Universal Multimodal Framework for Time‑Series Analysis

This article reviews the MLLM4TS framework, which fuses visual representations of multivariate time series with large language models to address complex temporal dependencies, cross‑channel interactions, and task generalization, and demonstrates superior performance on classification, anomaly detection, forecasting, and few‑shot scenarios across multiple benchmarks.

Multimodal LLMVision-Language Fusionablation study

0 likes · 11 min read

Exploring MLLM4TS: A Universal Multimodal Framework for Time‑Series Analysis

Sohu Tech Products

Dec 6, 2023 · Databases

GPTuner: LLM-Driven PostgreSQL Knob Tuning

GPTuner, an LLM‑driven system for PostgreSQL knob tuning developed by researchers at Sichuan University, demonstrates that knowledge processing, parameter selection, search‑range optimization, and a two‑stage Bayesian framework each significantly improve performance, while costing roughly 880 000 GPT‑4 tokens (≈ $30) with reusable knowledge.

GPTunerLLMPostgreSQL

0 likes · 9 min read

GPTuner: LLM-Driven PostgreSQL Knob Tuning