Article URL: https://falconer.com/notes/llm-as-a-courtroom/ Comments URL: https://news.ycombinator.com/item?id=46784210 Points: 30 Comments: 6...

Explore a practical approach to analysing massive datasets with LLMs The post Going Beyond the Context Window: Recursive Language Models in Action appeared firs...

Back to Articles !https://huggingface.co/avatars/598fc631df6c75ae458eed55f883820e.svghttps://huggingface.co/Omar-Alkaabi !https://huggingface.co/avatars/874c3ea...

Text embeddings have become an essential part of a variety of language applications. However, methods for interpreting, exploring and reversing embedding spaces...

Typical reinforcement learning (RL) methods for LLM reasoning waste compute on hard problems, where correct on-policy traces are rare, policy gradients vanish, ...

Large Language Models are increasingly optimized for deep reasoning, prioritizing the correct execution of complex tasks over general conversation. We investiga...

The rise of Large Language Models (LLMs) has enabled a new paradigm for bridging authorial intent and player agency in interactive narrative. We consider this p...

Reinforcement learning (RL) has improved the reasoning abilities of large language models (LLMs), yet state-of-the-art methods still fail to learn on many train...

Can a model learn to escape its own learning plateau? Reinforcement learning methods for finetuning large reasoning models stall on datasets with low initial su...

Large Language Models (LLMs) have demonstrated remarkable capabilities in complex reasoning tasks, particularly when augmented with search mechanisms that enabl...

Imagine an AI that stops mid‑sentence, realizes it made a mistake, and says: “Wait, wait. That’s an aha moment I can flag here.” This isn’t science fiction—it h...

Article URL: https://www.anthropic.com/research/assistant-axis Comments URL: https://news.ycombinator.com/item?id=46684708 Points: 4 Comments: 0...