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researcher

Amy X. Zhang

4 papers hereh-index 217 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.CY1
  • cs.HC1
  • cs.LG1
same name
  • Amy X. Zhang — 15 papers, h 33
  • Amy X. Zhang — 5 papers, h 4
  • Amy X. Zhang — 4 papers, h 2
  • Amy X. Zhang — 3 papers, h 2
  • Amy X. Zhang — 3 papers, h 5
  • Amy X. Zhang — 3 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

works on
benchmarking 1confidence filtering 1large language models 1metric design 1reasoning evaluation 1

From the 1 of 4 linked papers with an AI index.

collaborators

4 papers

cs.CL2026

Filtered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident Traces

Manas Pathak, Xingyao Chen, Shuozhe Li +2

The paper introduces the Filtered Reasoning Score (FRS), a metric that evaluates the quality of reasoning traces from large language models by focusing on the most confident genera…

cs.LG2026

Reinforcement Learning via Value Gradient Flow

Haoran Xu, Kaiwen Hu, Somayeh Sojoudi +1

We study behavior-regularized reinforcement learning (RL), where regularization toward a reference distribution (the dataset in offline RL or the base model in LLM RL finetuning) i…

cs.CY2024

AI and the Future of Digital Public Squares

Beth Goldberg, Diana Acosta-Navas, Michiel Bakker +24

Two substantial technological advances have reshaped the public square in recent decades: first with the advent of the internet and second with the recent introduction of large lan…

cs.HC2024

Chain of Alignment: Integrating Public Will with Expert Intelligence for Language Model Alignment

Andrew Konya, Aviv Ovadya, Kevin Feng +4

We introduce a method to measure the alignment between public will and language model (LM) behavior that can be applied to fine-tuning, online oversight, and pre-release safety che…

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