… Ablations show that diversity in model families, scales, and prompting strategies is essential, with the ensemble consistently beating any single model. …
… Overall, current agents can run the curation loop, but reliable data research requires scaffolded method adaptation, not open-ended prompting alone. …
… We benchmark diverse open-weight and closed-source language models across species and prompting strategies. …
… We also reveal that strategies that change how the reviewer interprets the paper, such as related-work repositioning and analytical discussion expansion , substantially outperform surface edits such as local polishing, table formatting, and algorithm boxes. …
… We first align constituent reasoning steps with their corresponding token logits under a symbolic-aided Chain-of-Thought CoT prompting framework. …
… Core Idea MemPrivacy implements local reversible pseudonymization : On-device privacy detection local Detect privacy spans in user input and classify them by: privacy level PL1–PL4 privacy type e.g., Email, Real Name, Medical Health, Recovery Code Typed placeholder replacement local → cloud Replace… …
… We first model localized support interactions as Intervention Units IUs , which capture state--action--outcome dynamics between seeker states, support interventions, and post-response emotional changes. …
… This formulation unifies category-conditioned counting with interpretable spatial localization. …
… The versions of the libraries I used are: trl==0.18.2 peft==0.15.2 transformers==4.52.4 deepspeed==0.17.1 LoRA Config lora config = LoraConfig r=training config "rank" , lora alpha=training config "alpha" , target modules= "q proj", "k proj", "v proj", "o proj", "gate proj", "up proj", "down proj",… …
… We further provide theoretical insights into how economic dynamics shape agent behaviors, linking local incentives to long-term global performance. …
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