arXiv:2607.14149v1 Announce Type: new Abstract: Although large language models (LLMs) have set benchmarks for zero-shot reasoning, their deployment remains cost-prohibitive and environmentally taxing. Small Language Models…
arXiv:2607.14096v1 Announce Type: new Abstract: In predictive modeling, the ability to explain why a model produces a given target prediction has become increasingly important [5, 10].…
arXiv:2607.14097v1 Announce Type: new Abstract: We introduce RegNetAgents, an AI-oriented multi-agent framework for structured, query-driven regulatory candidate identification across heterogeneous gene regulatory networks. The system enables…
arXiv:2607.14115v1 Announce Type: new Abstract: Inspired by how humans communicate spatial information, language-guided geo-localization has gained significant traction for its intuitive and practical value. Despite this…
arXiv:2607.14141v1 Announce Type: new Abstract: Bayesian Belief Networks (BBNs) are powerful tools for decision-making under uncertainty. However, building their structures and estimating parameters are difficult. Currently,…
arXiv:2607.14126v1 Announce Type: new Abstract: Type 1 Diabetes (T1D) is a chronic, life-threatening autoimmune condition characterized by the complete destruction of insulin-producing pancreatic beta cells. While…
arXiv:2607.14145v1 Announce Type: new Abstract: Tool-augmented large language model agents excel at long-horizon tasks, yet they are typically post-trained on fixed toolsets. When tasks demand new…
arXiv:2607.14144v1 Announce Type: new Abstract: The Platonic Representation Hypothesis (PRH) holds that as models scale, representations of heterogeneous networks converge toward a shared model of reality.…
arXiv:2607.14702v1 Announce Type: cross Abstract: Automatic recognition of ambivalence and hesitancy is challenging because these states may be expressed through inconsistent linguistic, acoustic, facial, and contextual…
arXiv:2607.15123v1 Announce Type: cross Abstract: Recent FPGAs have improved deep learning (DL) inference efficiency through dedicated tensor blocks and in-BRAM computation. ReRAM-based analog in-memory computing (IMC)…
arXiv:2607.14896v1 Announce Type: cross Abstract: Addressing a structural-engineering request requires more than a single answer; it requires a chain of interdependent artifacts: interpreted requirements, a computable…
arXiv:2607.06503v2 Announce Type: replace Abstract: Large language model (LLM) agents often waste inference compute by continuing multi-step trajectories that are already doomed to fail. We study…
arXiv:2510.21324v2 Announce Type: replace Abstract: Chest X-ray (CXR) plays a pivotal role in clinical diagnosis, and a variety of task-specific and foundation models have been developed…
arXiv:2505.22442v3 Announce Type: replace-cross Abstract: Offline RL (ORL) promises safe and sample-efficient deployment but existing methods rely on undocumented online interactions for hyperparameter tuning and lack…
Article URL: https://repebble.com/blog/pebble-mega-update-july-2026 Comments URL: https://news.ycombinator.com/item?id=48943174 Points: 25 # Comments: 0
American century of humiliation will continue until revenge fantasies improveI want to see the version where Neuralink-upgraded burgers crush Asians at mafsuntil then, just more sad…
Article URL: https://www.smithsonianmag.com/smart-news/how-has-roman-concrete-lasted-for-millennia-a-1900-year-old-latrine-offers-new-clues-about-the-materials-impressive-durability-180989115/ Comments URL: https://news.ycombinator.com/item?id=48943142 Points: 13 # Comments: 2
(it got outclassed in a few hours)Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞): Western open source frontier is back.This is on par with the largest of known…
well, with all respect to Thinky, there's a damn good reasonTrinky getting up to speed on training a V3+ tier model is a great win for…
beyond mHC: scaling the residual stream by effectively 16xXiangdong Zhang: Hyper-Connections never fade. They evolve.To push model intelligence further, we need to scale residual streams wider…
RT noahRe @saneord also 29 days ago.
A GPT-4 powered assistant for Pakistani judges increased the amount of cases they saw by 6% with no impact on quality.Elliott Ash: What happens when you…
RT Sasha RushI circled all the Transformer parts of k3. (I'm a sore loser).Sasha Rush: Time for everyone’s favorite game! Is it a Transformer?
On-policy distillation (OPD) has become a key paradigm in LLM post-training, yet its training dynamics remain poorly understood. We present a systematic study examining the role,…