AI
The Asymmetric Harms of LLM Compression
Researchers have found that compressing large language models (LLMs) can lead to uneven effects on t...
AI
Projector Is All You Train
Researchers from the University of California, Berkeley, have published a paper proposing a new appr...
AI
One Success Isn't Reliability: Thinkingbox, a Sandbox and Benchmark for Agents in Stateful Business Workflows
Researchers have created a sandbox called Thinkingbox to test the reliability of artificial agents i...
AI
PersonalBench: Measuring the Authorship Gap in LLM Personalization
Researchers have introduced PersonalBench, a benchmark for evaluating personalized text generation i...
AI
FlashPrefill V2: Block-Sparse Prefill Attention for Long-Context LLM Serving
Researchers have developed FlashPrefill V2, an improved version of their previou...
AI
SWE-bench Science: Can Coding Agents Resolve Engineering Tasks in Science?
Researchers have created SWE-bench Science, a benchmark to evaluate coding agent...
AI
Stopping and Routing LLM Judge Panels
Researchers from Bin Zhu, Yi Xie, and Yanghui Rao have proposed a method to desi...
AI
Learning how to Forget: Fine-tuning for Long-Context Sparse Attention
Researchers from AWS Labs have developed a new method for fine-tuning transforme...