New research shows LLM API testing misses how chatbots actually behave. Here's what the data says about the gap and how to fix your eval…
LLMs claim massive context windows but choke on long number sequences. A training-free trick called SepSeq fixes attention dispersion and boosts accuracy 35%.
A new benchmark shows LLMs drop 0.3 to 5.9% accuracy on grade-school math when names and places go non-Western. Same arithmetic, different answers.
A new Transformer variant called FBS tries to let LLM inference preview, skim, and skip, instead of grinding through every token. I read the paper…
A paper trains a tiny probe on a model's own hidden states to catch hallucinations at inference time, no judge model required. Here's why that…
Open models closed most of the quality and ops gaps with proprietary APIs. A pragmatic look at what changed and how to decide whether to…
Most reasoning LLM failures aren't hallucinations, they're silently skipped steps. Here's what to measure instead of end-to-end answer accuracy.