arXiv:2607. 10248v1 Announce Type: cross Abstract: Language builds discourse contexts other than the actual: a painting, a belief, a memory, a hypothetical.
By Oliver Steele, Jiangtao Wen, Yuxing Han
arXiv:2607. 16741v1 Announce Type: new Abstract: B\"urger et al.
By Francesco Karim Vicidomini
arXiv:2607. 15495v1 Announce Type: cross Abstract: Out of everything the human brain processes, only a small fraction is consciously accessible, in the sense of being available for verbal report, deliberate control, and flexible reasoning.
By Wes Gurnee, Nicholas Sofroniew, Adam Pearce, Mateusz Piotrowski, Isaac Kauvar, Runjin Chen, Anna Soligo, Paul Bogdan, Euan Ong, Rowan Wang, Ben Thompson, David Abrahams, Subhash Kantamneni, Emmanuel Ameisen, Joshua Batson, Jack Lindsey
arXiv:2610.00910v1 Announce Type: cross
Abstract: Human reasoning depends on how objects are related within propositions. \textit{How do relations organize the language representations of contextual...
By Yufa Zhou
The study turns the speculative field of astrolinguistics into an experiment by using two large language models with deliberately incompatible constructed lexicons as informants. A scripted orchestrator translates between the two category systems, and a protocol combining cross‑situational elimination, predictive probes, active scene selection, and a stricter recovery round successfully prevents the ‘kangaroo effect’—the silent attachment of a word to the wrong referent—in over 400 simulated and live runs. When informant noise is introduced, the protocol remains robust up to 2% per‑word noise and largely abstains rather than errs at higher noise levels, while a generate‑and‑test loop allows recovery of words outside the scripted hypothesis space, achieving full coverage as the rule‑proposing LLM’s capability increases.
whyItMatters":"The protocol demonstrates that experimental astrolinguistics can reliably avoid mistranslations and recover unknown terms, showing that correctness is governed by the protocol while coverage depends on the instruments used."
By Francesco Cordella, Mauro Cappelli
arXiv:2607. 15883v1 Announce Type: cross Abstract: Large language models are broadly capable, yet in sustained one-to-one conversation they still read as flat: competent, responsive, and somehow not quite the presence of a mind.
By Sebastian Cochinescu