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Tag: AI
SMTrap: Cost-Effective DoS Attacks Against Large Reasoning Models via SMT Conflict Guidance
arXiv:2608.18921v1 Announce Type: cross Abstract: Existing LRM-DoS methods rely heavily on model feedback to synthesize attack queries, requiring either…
Runlayer, Rippling drop lawsuits. But the brouhaha is still a cautionary tale for founders.
Runlayer and Rippling have dropped their lawsuits. No money was paid. Rippling celebrated by releasing a competing product.
Test-Time Scaling in the Wild: Why Exploitation, Not Exploration, Is the Bottleneck
arXiv:2608.18931v1 Announce Type: cross Abstract: Test-time scaling (TTS) improves language model outputs by spending additional inference compute -…
A strengthening of the MCFL-ness of $O_2$
arXiv:2608.18813v1 Announce Type: cross Abstract: In the last years, a number of proofs of the fact that $O_2$ is a multiple context-free grammar (MCFG)…
Understanding Multilingual Medical ASR Adaptation Through Layer-Wise Analysis
arXiv:2608.18825v1 Announce Type: cross Abstract: Medical automatic speech recognition (MedASR) requires adaptation to specialised terminology, limited…
Do Large Language Models Hallucinate Electric Fata Morganas?
arXiv:2608.18816v1 Announce Type: cross Abstract: AI hallucinations – that is, outputs which are made up, cannot be verified, or contradict the source…
MLREF: Efficient Module Reuse for Reward Design in Reinforcement Learning via Large Language Models
arXiv:2608.18827v1 Announce Type: cross Abstract: Reward function design remains a bottleneck in reinforcement learning. While large language models…
Liquid AI Releases LFM2.5-DSpark Draft Models That Deliver Up to 3.18x Faster Decoding Without Changing Model Outputs
Three ~300M drafters bring speculative decoding to LFM2.5, delivering up to 3.18x faster decoding with identical greedy output.
Identifying Implicit Premises for Logical Reconstruction of Argument Graphs
arXiv:2608.18821v1 Announce Type: cross Abstract: The logical reconstruction of argument graphs from natural language text is challenging because of the…