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Research2026-07-24 · source-backed
Baihui Wang and Bernard Koch decompose model responses to social pressure into structured resistance and compliance in moral reasoning. A model that never yields is as miscalibrated as one that always yields. The practical warning: anti-sycophancy fine-tuning optimizing a single scalar can destroy a model's ability to legitimately update on a good argument. If you've tuned for "don't cave," check whether you also tuned out "learn from the user."
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arXiv 2608.04804 sends a 7B searcher into the repo first, sandbox-verifies its reproduction claims and strips false ones, then routes to one of four frontier fixers. On the full 266-task Python slice under the official capped budget it solves 159 vs 158 for the best single mod...
PortLLM claimed training-free, data-free transfer of LoRA patches onto updated base models, but only over short horizons and without theoretical grounding. This study runs 10 continual-pretraining steps on Mistral, Gemma, and Qwen and finds portability persists long-run, meani...
arXiv 2607.29585 uses an information-asymmetric spot-the-difference task: two models each privately see one image and converse to decide whether the images match. Models routinely overlook key evidence in their *own* private image in favor of agreeing with their partner. That'...
The argument is that a structurally compressed model's bfloat16 checkpoint is itself only a distillation-recovered approximation, so training the 4-bit student against it inherits that error. Distilling directly from the original model reaches a comparable peak about 7x faster...
Multiple independent models train against each other with peer-derived rewards and no ground-truth labels, gaining 3.0-8.6% across seven text benchmarks and 2.3-7.2% across four multimodal ones. The mechanism claim matters more than the numbers: varying architectures, model si...
100 real frontier research tasks across seven scientific domains, full lifecycle, 800 annotated trajectories, 45-pattern failure taxonomy (arXiv 2608.14905). The headline isn't a leaderboard, it's a shared deficit: agents can't check what they produced against what they found,...
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