1
Show HN: AI Assistant that verifies its own sources
问问题就能从2亿+真实论文中提取答案，自动过滤伪造来源，学术研究必备AI助手。
Article URL: https://cochat.ai/ Comments URL: https://news.ycombinator.com/item?id=49201886 Points: 3 # Comments: 0
2
SciClaimSeekers at CheckThat! 2026: Retrieving Scientific Sources for Social Media Claims with LLM Reranking
用 LLM 重排序提升社交媒体言论的科学源检索精度，为事实核查提供高效方案。
arXiv:2607.24803v1 Announce Type: cross Abstract: Scientific claims often spread on social media faster than they can be verified, while posts rarely …
3
Interaction Techniques that Encourage Longer Prompts Can Improve Psychological Ownership when Writing with AI
一站式获取最新AI与交互论文，免费阅读PDF，预印本抢先看。
arXiv:2507.03670v2 Announce Type: replace-cross Abstract: Writing longer prompts for an AI assistant to generate a story increases psychological owner…
4
Class-frequency Guided Noise Schedule for Diffusion Models
输入论文标题，秒查开源实现和复现资源，扩散模型研究必备的导航工具。
arXiv:2606.27696v1 Announce Type: cross Abstract: In this paper, we are the first to examine the correlations between class frequency and the multi-sc…
5
Direct Preference Optimization for Chatbot Fine-Tuning: An Empirical Study
一键直达前沿AI论文，arXiv是研究者必备的预印本平台，支持直接获取DPO等最新成果。
arXiv:2606.12881v1 Announce Type: new Abstract: We present an approach to fine-tuning large language models using Direct Preference Optimization (DPO)…
6
PriFT: Prior-Support Guided Supervised Fine-Tuning
快速获取最新AI论文预印本，支持全文PDF下载与引用，科研必备
arXiv:2606.09396v1 Announce Type: cross Abstract: Supervised fine-tuning (SFT) is an efficient approach for downstream task adaptation and often serve…
7
Sci-Hub has created a new AI chatbot. Is it any good?
基于Sci-Hub论文库的AI问答工具，免费解答科学问题，但文献更新可能滞后。
Article URL: https://cen.acs.org/policy/publishing/Sci-Hub-created-new-AI/104/web/2026/04 Comments URL: https://news.ycombinator.com/item?id=48243836 …
8
Content-Style Identification via Differential Independence
arXiv 是学术研究必备神器，免费获取最新论文预印本，涵盖从计算机到物理的全学科，这里就能找到《Content-Style Identification》这样的 ICML 2026 前沿成果。
arXiv:2605.17827v1 Announce Type: new Abstract: Generative analysis often models multi-domain observations as nonlinear mixtures of domain-invariant c…