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TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture
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Meta AI Researcher Explains ARE and Gaia2: Scaling Up Agent Environments and Evaluations
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Georgia Tech's Santosh Vempala Explains Why Language Models Hallucinate, His Research With OpenAI
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Atropos Health’s Arjun Mukerji, PhD, Explains RWESummary: A Framework and Test for Choosing LLMs to Summarize Real-World Evidence (RWE) Studies
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Stan Miasnikov, Distinguished Engineer, AI/ML Architecture, Consumer Experience at Verizon Walks Us Through His New Paper
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Small Language Models are the Future of Agentic AI
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Watermarking for LLMs and Image Models
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Self-Adapting Language Models: Paper Authors Discuss Implications
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The Illusion of Thinking: What the Apple AI Paper Says About LLM Reasoning
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Accurate KV Cache Quantization with Outlier Tokens Tracing
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Scalable Chain of Thoughts via Elastic Reasoning
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Sleep-time Compute: Beyond Inference Scaling at Test-time
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LibreEval: The Largest Open Source Benchmark for RAG Hallucination Detection
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AI Benchmark Deep Dive: Gemini 2.5 and Humanity's Last Exam
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Model Context Protocol (MCP)
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AI Roundup: DeepSeek’s Big Moves, Claude 3.7, and the Latest Breakthroughs
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How DeepSeek is Pushing the Boundaries of AI Development
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Multiagent Finetuning: A Conversation with Researcher Yilun Du
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Training Large Language Models to Reason in Continuous Latent Space
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LLMs as Judges: A Comprehensive Survey on LLM-Based Evaluation Methods
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Merge, Ensemble, and Cooperate! A Survey on Collaborative LLM Strategies
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Agent-as-a-Judge: Evaluate Agents with Agents
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Introduction to OpenAI's Realtime API
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Swarm: OpenAI's Experimental Approach to Multi-Agent Systems
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KV Cache Explained
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The Shrek Sampler: How Entropy-Based Sampling is Revolutionizing LLMs
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Google's NotebookLM and the Future of AI-Generated Audio
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Exploring OpenAI's o1-preview and o1-mini
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Breaking Down Reflection Tuning: Enhancing LLM Performance with Self-Learning
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Composable Interventions for Language Models
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Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges
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Breaking Down Meta's Llama 3 Herd of Models
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DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
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RAFT: Adapting Language Model to Domain Specific RAG
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LLM Interpretability and Sparse Autoencoders: Research from OpenAI and Anthropic
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Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models' Alignment
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Breaking Down EvalGen: Who Validates the Validators?
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Keys To Understanding ReAct: Synergizing Reasoning and Acting in Language Models
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Demystifying Chronos: Learning the Language of Time Series
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Anthropic Claude 3
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Reinforcement Learning in the Era of LLMs
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Sora: OpenAI’s Text-to-Video Generation Model
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RAG vs Fine-Tuning
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HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels
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Phi-2 Model
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A Deep Dive Into Generative's Newest Models: Gemini vs Mistral (Mixtral-8x7B)–Part I
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How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings
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The Geometry of Truth: Emergent Linear Structure in LLM Representation of True/False Datasets
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Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
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RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models
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Explaining Grokking Through Circuit Efficiency
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Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
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Skeleton of Thought: LLMs Can Do Parallel Decoding
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Llama 2: Open Foundation and Fine-Tuned Chat Models
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Lost in the Middle: How Language Models Use Long Contexts
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Orca: Progressive Learning from Complex Explanation Traces of GPT-4
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Toolformer: Training LLMs To Use Tools
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Hungry Hungry Hippos - H3
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ChatGPT and InstructGPT: Aligning Language Models to Human Intention
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