Micah Rentschler

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upvoted a collection 24 days ago

FaithEval Benchmark

Collection

A collection of contextual QA datasets dedicated to evaluate the contextual faithfulness of LLMs • 3 items • Updated Oct 31 • 3

upvoted a paper 2 months ago

Language Models Can Learn from Verbal Feedback Without Scalar Rewards

Paper • 2509.22638 • Published Sep 26 • 70

upvoted a paper 4 months ago

Exploitation Is All You Need... for Exploration

Paper • 2508.01287 • Published Aug 2 • 6

upvoted a paper 5 months ago

Pre-Trained Policy Discriminators are General Reward Models

Paper • 2507.05197 • Published Jul 7 • 39

upvoted an article 5 months ago

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Article

Why Maybe We're Measuring LLM Compression Wrong

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Jun 21

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13

upvoted a paper 9 months ago

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142

upvoted 5 papers 10 months ago

Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity

Paper • 2502.13063 • Published Feb 18 • 72

You Do Not Fully Utilize Transformer's Representation Capacity

Paper • 2502.09245 • Published Feb 13 • 37

FoNE: Precise Single-Token Number Embeddings via Fourier Features

Paper • 2502.09741 • Published Feb 13 • 15

The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding

Paper • 2502.08946 • Published Feb 13 • 191

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28