Tag: AI language models
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Debiasing Reward Models with Causal Inference Intervention
Reduce biases in reward models using causally motivated inference-time interventions to improve alignment with human preferences without losing performance...
How Instruction Complexity Affects LLMs in Adversarial Tests
Explore how instruction complexity drives positional collapse in LLMs during adversarial evaluations, impacting model response strategies and accuracy.
Comet-H: Orchestrating Language Models for Evolving Research Software
Discover Comet-H, a system that synchronizes language models to improve research software development and reduce errors like hallucination and desynchroniz...
Path-Lock Expert: Architecture for Clear Hybrid Reasoning
Discover how Path-Lock Expert enhances hybrid thinking models by separating reasoning modes, boosting accuracy and reducing response leakage.
Sliceformer: Advanced Static Program Slicing with Language Models
Discover Sliceformer, a cutting-edge framework using dataflow-aware pretraining and constrained decoding to enhance static program slicing accuracy.