You can do CUDA inference on an Apple Silicon Mac with PCI Passthrough
QEMU GPU passthrough on macOS enables CUDA inference for LLMs on Apple Silicon via Linux VM, with benchmarks.
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QEMU GPU passthrough on macOS enables CUDA inference for LLMs on Apple Silicon via Linux VM, with benchmarks.
FactoryBench evaluates LLMs and time-series models on industrial robotic telemetry using Pearl's causal ladder and LLM-as-judge scoring.
LithoBench introduces first domain-specific benchmark for evaluating multimodal LLMs on geological lithology interpretation from remote-sensing imagery.
Benchmark evaluates latest LLMs on grammatical error correction across edit precision, fluency, and meaning retention with reference-free metrics.
HDMI: probe-free causal intervention method steers LLM hidden states via gradient-based margin maximization without auxiliary classifiers.
CIKA framework uses LLMs as interventional simulators to identify causal concept contributions to mathematical reasoning via prompts.
Video-LLMs fail temporal reasoning despite strong visual backbones; information bottleneck traced to projector and LLM layers in Arrow-of-Time task.
Opinion piece argues hardware is frontier labs' primary moat as open-source models commoditize and AGI focus shifts beyond LLMs alone.
I think Claude Code is amazing, however very hard to track what exactly has been changed without having to look through a 10k line diff on git. My friends and I started this open-source proejct to visualize software architectures. We found out that we are also curious how big…
Local LLMs reaching production-grade performance on routine tasks (coding, summarization, agents), driving adoption of hybrid cloud-local workload strategies.
ScaleLogic benchmark isolates proof-planning depth and logic expressiveness to systematically study RL training scaling for LLM long-horizon reasoning.
Compares rule-based templates vs LLMs for automated clinical report generation in remote cognitive remediation with no reference data.
ParoQuant introduces pairwise rotation quantization to reduce inference cost for reasoning LLMs while maintaining output quality.
Analysis of LLM jailbreak vulnerability without structured prompts reveals robustness gaps in current safety defenses.
Memini: associative memory system with multi-timescale dynamics for continual knowledge updating in deployed LLMs without explicit management.
Psychometric analysis of 50 LLMs identifies phenomenal experience as primary variance axis via Pinocchio dimension.
Systematic review of jailbreak attack and defense methods for LLMs with critique of narrow evaluation metrics like attack success rate.
Single-pass hallucination detection method for LLMs using attention head KL-divergence without sampling, validated across multiple model families.
Reward models fail to capture socially desirable preferences across bias, safety, morality, and ethics—exposing hidden alignment failures in LLM training.
Study shows expert alignment in LLMs varies substantially by evaluator and task subjectivity; reveals tacit criteria and temporal inconsistency as core obstacles.
Research community reports frequent LLM hallucinations in bibliography generation, with incorrect author attributions despite correct titles, raising integrity concerns.
ProgramBench evaluates LLM ability to reverse-engineer and rebuild complete programs from binaries and docs; all tested models score 0%.
Reddit discussion on current SOTA LLMs; lacks specificity, substance, or novel claims.
Fairness audit of five LLMs (Gemini, GPT-4, DeepSeek, Mistral, Nemotron) on emergency triage reveals gender bias persistence in clinical decision support.
QKVShare framework for quantized KV-cache handoff between multi-agent LLMs on edge devices; token-level mixed-precision allocation reduces memory vs. full-precision transfer.
The cars rolling off production lines right now are filled with old ideas. From beginning to end, the creation of a new vehicle can take five years or longer - which is plenty of time for a lot of tastes, politics, and gas prices to change. That's one reason car manufacturers…
Reddit discussion on growing demand for privacy-preserving ML techniques amid LLM proliferation and de-anonymization research.
Knowledge distillation from LLMs to compact open-source models for cross-language code clone detection without black-box inference costs.
FunFuzz evolutionary fuzzing framework uses LLMs with multi-island search and feedback-driven prompt adaptation for structured input generation.
Analysis identifies latent reasoning suppression in multimodal models where visual tokens are semantically enriched but underutilized in prediction.