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
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
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
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
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
arXiv 2023
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
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
Fast Model Editing at Scale
fast-model-editing-at-scale
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
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
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
a-thorough-examination-of-the-cnndaily-mail-1
Learning Language Games through Interaction
learning-language-games-through-interaction-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