Humans and artificial systems routinely use abstractions to make complex relations tractable. Trees organize relations spatially through hierarchy; pipelines organize processes temporally through sequence. Such structures can function as optional aids for representation, explanation, inspection, or coordination. The architectural question addressed here is what changes when an abstraction that can be used flexibly is fixed as a structure that subsequent observation or processing must follow. The Abstraction Fixation Mismatch Hypothesis distinguishes two operations: projection and fixation. Projection renders a complex object or process into a tractable representational form. Fixation makes that form structurally binding on what follows. The proposed mismatch is not between humans and artificial intelligence as such, nor does it depend on trees or pipelines being uniquely human. It arises when the consequences of an abstraction as an optional aid differ from its consequences as a fixed constraint. In sequential pipelines, propositions and partial conclusions may be preserved across stage boundaries while aspects of the inferential state that produced them are not. A later stage may then reconstruct what is missing and reason coherently from that reconstruction. Such discontinuity is not inherently harmful: independent verification, adversarial critique, and fresh-context review may deliberately benefit from non-preservation. The risk arises when state that should matter downstream is unintentionally omitted and reconstructed as though it had been preserved. Trees illustrate a related but distinct spatial constraint: cross-cutting relations may be projected into fixed relations of membership, containment, or hierarchy. Unlike sequential pipelines, a hierarchy does not necessarily produce cumulative reconstruction merely by being nested. The paper therefore treats trees and pipelines as different forms of fixed projection rather than as mathematically equivalent mechanisms. Finally, the paper relates this hypothesis to ES-IFM and the Inter-Intelligence Intermediary Syntax (IIIS) as a contrasting design direction. Their minimal semantics do not eliminate interpretation or reconstruction; they deliberately relocate interpretation to the observing intelligence rather than presenting underdetermined interpretation as preserved semantic state.
This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.
F. Xia, Amir Zamir, Zhi-Yang He et al.· 2018 IEEE/CVF Conference on...· 1,069 citations· ⚡112
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
An algorithm is proposed which leverages disentangled semantic factors to generate adversarial perturbation by altering controlled semantic attributes to fool the learner towards various "adversarial" targets.
Haonan Qiu, Chaowei Xiao, Lei Yang et al.· arXiv.org· 208 citations· ⚡17
This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9