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arXiv:2510.13907v2 Announce Type: replace Abstract: Large language models (LLMs) are highly sensitive to prompts, but most automatic prompt optimization (APO)...
arXiv:2506.07972v2 Announce Type: replace-cross Abstract: While Large Language Models (LLMs) have demonstrated significant advancements in reasoning and agent-based problem-solving, current...
arXiv:2510.07118v2 Announce Type: replace Abstract: Instruction tuning is essential for aligning large language models (LLMs) to downstream tasks and commonly...
Google DeepMind is expanding its biological toolkit beyond the world of protein folding. After the success of AlphaFold, the Google’s...
“Who here believes involuntary death is a good thing?” Nathan Cheng has been delivering similar versions of this speech over...
arXiv:2504.12344v2 Announce Type: replace Abstract: Large language models (LLMs) can exhibit concept-conditioned semantic divergence: common high-level cues (e.g., ideologies, public...
arXiv:2508.09125v2 Announce Type: replace Abstract: Instruction following has catalyzed the recent era of Large Language Models (LLMs) and is the...
arXiv:2601.19895v1 Announce Type: cross Abstract: Large language model (LLM) scaling is hitting a wall. Widening models yields diminishing returns, and...
arXiv:2601.19350v1 Announce Type: new Abstract: Traditional metrics like BLEU and BERTScore fail to capture semantic fidelity in generative text-to-text tasks....
ISA-Bench: Benchmarking Instruction Sensitivity for Large Audio Language Models
Is vibe coding ruining a generation of engineers?
Is There a Community Edition of Palantir? Meet OpenPlanter: An Open Source Recursive AI Agent for Your Micro Surveillance Use Cases
Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure
Is the Pentagon allowed to surveil Americans with AI?
Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering
Is It Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort
Is In-Context Learning Learning?
