Princeton Language and Intelligence (PLI)
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- https://pli.princeton.edu/
- @princetonpli
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what-makes-good-rm
what-makes-good-rm Public[NeurIPS 2025] What Makes a Reward Model a Good Teacher? An Optimization Perspective
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Repositories
- competitive-programming-agents Public
We study the tradeoffs between agentic reasoning and independent sampling for competitive programming.
princeton-pli/competitive-programming-agents’s past year of commit activity - hal-harness Public
princeton-pli/hal-harness’s past year of commit activity - imperfect-rewards Public
Code for reproducing experiments from the paper "When Errors Can Be Beneficial: A Categorization of Imperfect Rewards for Policy Gradient"
princeton-pli/imperfect-rewards’s past year of commit activity - AggAgent Public
princeton-pli/AggAgent’s past year of commit activity - T2MLR Public
Official Implementation for Pre-print "T2MLR: Transformer with Temporal Middle-Layer Recurrence"
princeton-pli/T2MLR’s past year of commit activity - Contextual-Drag Public
Code for Pre-print "Contextual Drag: How Errors in the Context Affect LLM Reasoning"
princeton-pli/Contextual-Drag’s past year of commit activity - momus-imo-solver Public
Official implementation of the paper "Escaping the Cognitive Well: Efficient Competition Math with Off-the-Shelf Models" (arXiv:2602.16793).
princeton-pli/momus-imo-solver’s past year of commit activity
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