·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Instagram’s AI detection is a mess (again)1h◆Why AI food looks like that2h◆Microsoft’s Project Zenith is a ‘distraction-free Windows experience’ for developers3h◆Sam Altman apologizes for ‘messy’ GPT-6 Astra rollout that’s locked out paying users3h◆This NAS company wants to run your local smart home4h◆Data from drones in Ukraine is fueling a new Wild West marketplace4h◆The sameness problem behind those unappetizing AI-generated menus9h◆CulturalMenuBench: Probing the Knowledge-Application Gap in Multimodal Culinary Reasoning9h◆Proactive Service Agents: A Unified Decision Framework, Methods, and Evaluation9h◆X-Translator: A Real-Time Multilingual Speaker-Aware Speech-to-Speech Translation System9h◆A Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious Behaviors9h◆Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach9h◆Subspace Inference Enables Efficient Active Reward Learning from Preferences9h◆Identifying AI Web Scrapers Using Canary Tokens9h◆PalmClaw: A Native On-Device Agent Framework for Mobile Phones9h◆Dual-Form ASR: Semantics-Aware Inverse Text Normalization for Chinese Speech Recognition9h◆MemoryLACE: Memory Lifecycle-Aware Consolidation and Evidence Retrieval9h◆When Retrieval Helps: Selective Retrieval for Single-Turn Mental-Health QA9h◆ALRA: Adaptive Local Relational Alignment for Logit-Based Pre-training Distillation of Autoregressive Language Models9h◆VestigeKV: The NoPE-MLA KV Cache Carries Its Own Eviction Signal in a Vestigial Branch9h◆Instagram’s AI detection is a mess (again)1h◆Why AI food looks like that2h◆Microsoft’s Project Zenith is a ‘distraction-free Windows experience’ for developers3h◆Sam Altman apologizes for ‘messy’ GPT-6 Astra rollout that’s locked out paying users3h◆This NAS company wants to run your local smart home4h◆Data from drones in Ukraine is fueling a new Wild West marketplace4h◆The sameness problem behind those unappetizing AI-generated menus9h◆CulturalMenuBench: Probing the Knowledge-Application Gap in Multimodal Culinary Reasoning9h◆Proactive Service Agents: A Unified Decision Framework, Methods, and Evaluation9h◆X-Translator: A Real-Time Multilingual Speaker-Aware Speech-to-Speech Translation System9h◆A Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious Behaviors9h◆Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach9h◆Subspace Inference Enables Efficient Active Reward Learning from Preferences9h◆Identifying AI Web Scrapers Using Canary Tokens9h◆PalmClaw: A Native On-Device Agent Framework for Mobile Phones9h◆Dual-Form ASR: Semantics-Aware Inverse Text Normalization for Chinese Speech Recognition9h◆MemoryLACE: Memory Lifecycle-Aware Consolidation and Evidence Retrieval9h◆When Retrieval Helps: Selective Retrieval for Single-Turn Mental-Health QA9h◆ALRA: Adaptive Local Relational Alignment for Logit-Based Pre-training Distillation of Autoregressive Language Models9h◆VestigeKV: The NoPE-MLA KV Cache Carries Its Own Eviction Signal in a Vestigial Branch9h◆
News/SmileyLlama: Modifying Large Language Models for Directed Chemical Space Exploration
arxiv
PublishedApril 14, 2026 at 4:00 AM

SmileyLlama: Modifying Large Language Models for Directed Chemical Space Exploration

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2409.02231v5 Announce Type: replace-cross Abstract: We show that large language model (LLMs) can be transformed via supervised fine-tuning (SFT) of engineered prompts into SmileyLlama for exploring the chemical space of drug molecules. We benchmark SmileyLlama against pre-trained LLMs and chem

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivCulturalMenuBench: Probing the Knowledge-Application Gap in Multimodal Culinary Reasoning9harxivProactive Service Agents: A Unified Decision Framework, Methods, and Evaluation9harxivX-Translator: A Real-Time Multilingual Speaker-Aware Speech-to-Speech Translation System9harxivA Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious Behaviors9h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews