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Christopher Potts

Papers
37

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37papers

Authored papers

37

HyperSteer: Activation Steering at Scale with Hypernetworks

arXiv 2025

2025

WARP: An Efficient Engine for Multi-Vector Retrieval

arXiv 2025

2025

Do Language Models Use Their Depth Efficiently?

arXiv 2025

2025

Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors

arXiv 2025

2025

Structured Prompting Enables More Robust Evaluation of Language Models

arXiv 2025

2025

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

arXiv 2025

2025

Multi-module GRPO: Composing Policy Gradients and Prompt Optimization for Language Model Programs

arXiv 2025

2025

Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment

arXiv 2024

2024

CausalGym: Benchmarking causal interpretability methods on linguistic tasks

arXiv 2024

2024

MoEUT: Mixture-of-Experts Universal Transformers

arXiv 2024

2024

RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations

arXiv 2024

2024

Mission: Impossible Language Models

arXiv 2024

2024

MrT5: Dynamic Token Merging for Efficient Byte-level Language Models

arXiv 2024

2024

I am a Strange Dataset: Metalinguistic Tests for Language Models

arXiv 2024

2024

Improving Pretraining Data Using Perplexity Correlations

arXiv 2024

2024

ReFT: Representation Finetuning for Language Models

arXiv 2024

2024

pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

arXiv 2024

2024

In-Context Learning for Extreme Multi-Label Classification

arXiv 2024

2024

Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations

arXiv 2024

2024

Building Efficient and Effective OpenQA Systems for Low-Resource Languages

arXiv 2024

2024

A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments

arXiv 2024

2024

MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions

arXiv 2023

2023

UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers

arXiv 2023

2023

ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems

arXiv 2023

2023

GIO: Gradient Information Optimization for Training Dataset Selection

arXiv 2023

2023

ContextRef: Evaluating Referenceless Metrics For Image Description Generation

arXiv 2023

2023

ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning

arXiv 2023

2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

TMLR

2022

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

arXiv 2022

2022

PLAID: An Efficient Engine for Late Interaction Retrieval

arXiv 2022

2022

Psychologically-informed chain-of-thought prompts for metaphor understanding in large language models

arXiv 2022

2022

Causal Proxy Models for Concept-Based Model Explanations

arXiv 2022

2022

Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics

arXiv 2022

2022

Data and Representation for Turkish Natural Language Inference

EMNLP 2020 11

2020

DynaSent: A Dynamic Benchmark for Sentiment Analysis

ACL 2021 5

2020

Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation

EMNLP (BlackboxNLP) 2020 11

2020

A large annotated corpus for learning natural language inference

a-large-annotated-corpus-for-learning-natural-1

2015

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from 37 papers