Christopher D. Manning
- Papers
- 36
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Authored papers
36Do Language Models Use Their Depth Efficiently?
arXiv 2025
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
arXiv 2025
Osiris: A Lightweight Open-Source Hallucination Detection System
arXiv 2025
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
arXiv 2024
NNetscape Navigator: Complex Demonstrations for Web Agents Without a Demonstrator
arXiv 2024
MrT5: Dynamic Token Merging for Efficient Byte-level Language Models
arXiv 2024
Instruction Following without Instruction Tuning
arXiv 2024
ReFT: Representation Finetuning for Language Models
arXiv 2024
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
arXiv 2024
BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text
arXiv 2024
MoEUT: Mixture-of-Experts Universal Transformers
arXiv 2024
Model Editing with Canonical Examples
arXiv 2024
Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations
arXiv 2024
Statistical Uncertainty in Word Embeddings: GloVe-V
arXiv 2024
Handwritten Code Recognition for Pen-and-Paper CS Education
arXiv 2024
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
arXiv 2023
Meta-Learning Online Adaptation of Language Models
arXiv 2023
Grokking of Hierarchical Structure in Vanilla Transformers
arXiv 2023
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
arXiv 2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
TMLR
Deep Bidirectional Language-Knowledge Graph Pretraining
arXiv 2022
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
arXiv 2022
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
arXiv 2022
Truncation Sampling as Language Model Desmoothing
arXiv 2022
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering
ACL 2021 5
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
Findings (EMNLP) 2021 11
Fast Model Editing at Scale
fast-model-editing-at-scale
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
ICLR 2020 1
Contrastive Learning of Medical Visual Representations from Paired Images and Text
arXiv 2020
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
gqa-a-new-dataset-for-real-world-visual
What Does BERT Look At? An Analysis of BERT's Attention
what-does-bert-look-at-an-analysis-of-berts-1
Answering Complex Open-domain Questions Through Iterative Query Generation
answering-complex-open-domain-questions-1
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
hotpotqa-a-dataset-for-diverse-explainable-1
Learning Language Games through Interaction
learning-language-games-through-interaction-1
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
a-thorough-examination-of-the-cnndaily-mail-1
A large annotated corpus for learning natural language inference
a-large-annotated-corpus-for-learning-natural-1
Affiliations
Frequent co-authors
10from 36 papers
Christopher Potts
Percy Liang
professor
Michihiro Yasunaga
Róbert Csordás
Antoine Bosselut
Atticus Geiger
Chelsea Finn
Danqi Chen
professor
Eric Mitchell
John Hewitt