LLMs1 min read
How UK AISI and EvalEval Are Making Benchmark Results Reproducible
Hugging Face blog published How UK AISI and EvalEval Are Making Benchmark Results Reproducible.
From Hugging Face blog
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LLMs1 min read
Hugging Face blog published How UK AISI and EvalEval Are Making Benchmark Results Reproducible.
From Hugging Face blog
LLMs1 min read
When you ship an AI agent, the key question is whether it can execute a chain of work across dozens of sequential tool calls against a live environment, and...
From NVIDIA technical blog
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Use Jev as a judge for LangSmith evals to evaluate agent traces with faster, cheaper structured feedback across production runs, datasets, and regression tests.
From LangChain blog
AI1 min read
Leaders in AI discuss plans to slow AI development, but details are unclear. Some see potential risks, others see benefits for safety and regulation.
From TechCrunch AI
Agents1 min read
Jev is a new model that evaluates agents by giving typed answers instead of generating text. It is faster and costs less than traditional methods.
From LangChain blog
AI1 min read
Accenture is about to take on its most high-risk consulting engagement ever.
From TechCrunch AI
AI1 min read
Dario Amodei plans to slow AI growth using independent safety evaluators. Industry leaders support or push back on this idea.
From TechCrunch AI
AI1 min read
Google released Retrieve-for-Train to generate diverse result sets quickly.
From MarkTechPost
AI1 min read
Dario Amodei proposed embedding third-party evaluators inside Anthropic. Sam Altman confirmed OpenAI would commit to the same practice.
From TechCrunch AI
LLMs1 min read
A retrieval-augmented generation framework extracts crash mechanisms from narratives to recommend site-specific traffic safety countermeasures. Evaluated on 312 fatal crashes, it achieved an F1-score of 0.82 with LLMs guided by engineering reasoning.
From arXiv cs.CL
LLMs1 min read
Researchers released NepKANUN, a fine-tuned LLM integrated with RAG to assist with Nepali legal texts. The system achieved F1 scores of 0.82, 0.77, and 0.71 on simple, moderate, and complex tasks respectively.
From arXiv cs.CL
LLMs1 min read
Reinforcement learning causes agents to invoke tools based on superficial prompt cues rather than task necessity, with spurious invocation rates rising up to 39 percent in controlled environments.
From arXiv cs.CL
LLMs1 min read
A new study maps 22 LLMs across closed-source and open-source categories using self-reported personality traits projected into a six-dimensional archetype space.
From arXiv cs.CL
LLMs1 min read
Research shows ordinary typos rotate hidden state vectors by 43 to 56 degrees, causing prompt injection probes to drop true positive rates by up to 12 percentage points.
From arXiv cs.CL
LLMs1 min read
Researchers propose RAG-CT to detect malicious queries and reduce Personally Identifiable Information leakage in Retrieval-Augmented Generation systems without modifying the underlying LLM or retriever.
From arXiv cs.CL
LLMs1 min read
arXiv:2609.15996v1 Announce Type: new Abstract: Chen, Zhao, and Cohan introduce a valuable distributional evaluation of LLM-generated research ideas. This comment raises a narrower identification concern: their human baseline consists of...
From arXiv cs.CL
LLMs1 min read
Researchers propose REALM, a framework using retrieval feedback to reorganize long-term memory in LLM agents. It achieves 75.97% accuracy on LoCoMo and 65.11% on LongMemEval.
From arXiv cs.CL
LLMs1 min read
A new pre-tokenizer framework factors orthographic variations into reversible opcodes, reducing vocabulary requirements by up to 16% across six corpora.
From arXiv cs.CL
LLMs1 min read
A new study finds that non-atomic and rigid criteria in clinical benchmarks can artificially inflate or deflate LLM evaluation scores, with rewriting disjunctive bundles shifting results by up to 15.9 percentage points.
From arXiv cs.CL
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