How can we build AI systems that keep learning new information over time without forgetting what they learned before or […]
Category: AI Paper Summary
Google AI Introduces DS STAR: A Multi Agent Data Science System That Plans, Codes And Verifies End To End Analytics
How do you turn a vague business style question over messy folders of CSV, JSON and text into reliable Python […]
CMU Researchers Introduce PPP and UserVille To Train Proactive And Personalized LLM Agents
Most LLM agents are tuned to maximize task success. They resolve GitHub issues or answer deep research queries, but they […]
Google AI Introduces Consistency Training for Safer Language Models Under Sycophantic and Jailbreak Style Prompts
How can consistency training help language models resist sycophantic prompts and jailbreak style attacks while keeping their capabilities intact? Large […]
Cache-to-Cache(C2C): Direct Semantic Communication Between Large Language Models via KV-Cache Fusion
Can large language models collaborate without sending a single token of text? a team of researchers from Tsinghua University, Infinigence […]
LongCat-Flash-Omni: A SOTA Open-Source Omni-Modal Model with 560B Parameters with 27B activated, Excelling at Real-Time Audio-Visual Interaction
How do you design a single model that can listen, see, read and respond in real time across text, image, […]
DeepAgent: A Deep Reasoning AI Agent that Performs Autonomous Thinking, Tool Discovery, and Action Execution within a Single Reasoning Process
Most agent frameworks still run a predefined Reason, Act, Observe loop, so the agent can only use the tools that […]
Anthropic’s New Research Shows Claude can Detect Injected Concepts, but only in Controlled Layers
How do you tell whether a model is actually noticing its own internal state instead of just repeating what training […]
Ant Group Releases Ling 2.0: A Reasoning-First MoE Language Model Series Built on the Principle that Each Activation Enhances Reasoning Capability
How do you build a language model that grows in capacity but keeps the computation for each token almost unchanged? The […]
Microsoft Releases Agent Lightning: A New AI Framework that Enables Reinforcement Learning (RL)-based Training of LLMs for Any AI Agent
How do you convert real agent traces into reinforcement learning RL transitions to improve policy LLMs without changing your existing […]