Prasann Singhal(@prasann_singhal):Could long-context architectures “find all contradictions” in a science literature? Not yet! 🧵 We study a new class of "high-complexity” tasks whose difficulty scales quadratically with corpus size (as opposed to linearly), reversing common LCLM decisions! (block-sparse attention, hybrid models…)

Prasann Singhal

@prasann_singhal

2nd-year #NLProc# PhD at UC Berkeley working with @sewon__min @JacobSteinhardt , formerly advised by @gregd_nlp

参加 January 2021

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Prasann Singhal@prasann_singhal

2026.09.28 16:33

Could long-context architectures “find all contradictions” in a science literature? Not yet! 🧵 We study a new class of "high-complexity” tasks whose difficulty scales quadratically with corpus size (as opposed to linearly), reversing common LCLM decisions! (block-sparse attention, hybrid models…)