Christopher D Manning
27 papers · 2022–2026 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(17)
Natural Language Processing
(17)
Artificial Intelligence
(15)
Core AI
(13)
Resources & Methods
(11)
Deep Learning
(8)
Learning Types
(7)
Application Areas
(6)
Applications
(6)
Core Methods
(6)
Optimization & Theory
(4)
Architectures
(3)
Generation
(3)
Techniques
(3)
Understanding
(3)
Keywords
language model
(6)
large language model
(5)
question answering
(4)
model editing
(3)
text classification
(3)
reinforcement learning
(2)
transfer learning
(2)
retrieval-augmented generation
(2)
knowledge graph
(2)
token merging
(2)
direct preference optimization
(2)
natural language processing
(1)
language model adaptation
(1)
named entity recognition
(1)
knowledge transfer
(1)
domain adaptation
(1)
self-supervised learning
(1)
multimodal learning
(1)
video captioning
(1)
syntax parsing
(1)
Papers
Humans and transformer LMs: Abstraction drives language learning
EACL 2026
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
ICLR 2025
AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
ICML 2025
Drop Dropout on Single Epoch Language Model Pretraining
ACL 2025
h4rm3l: A Language for Composable Jailbreak Attack Synthesis
ICLR 2025
LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain
NAACL 2025
Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations
EMNLP 2025
MrT5: Dynamic Token Merging for Efficient Byte-level Language Models
ICLR 2025
Sneaking Syntax into Transformer Language Models with Tree Regularization
NAACL 2025
Stronger Baselines for Retrieval-Augmented Generation with Long-Context Language Models
EMNLP 2025
An Emulator for Fine-tuning Large Language Models using Small Language Models
ICLR 2024
BAGEL: Bootstrapping Agents by Guiding Exploration with Language
ICML 2024
Fine-Tuning Language Models for Factuality
ICLR 2024
Language Model Detectors Are Easily Optimized Against
ICLR 2024
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
ICLR 2024
Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations
EMNLP 2024
Statistical Uncertainty in Word Embeddings: GloVe-V
EMNLP 2024
An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement
NeurIPS 2023
Characterizing intrinsic compositionality in transformers with Tree Projections
ICLR 2023
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
ICML 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
NeurIPS 2023
Deep Bidirectional Language-Knowledge Graph Pretraining
NeurIPS 2022
Fast Model Editing at Scale
ICLR 2022
GreaseLM: Graph REASoning Enhanced Language Models
ICLR 2022
Hindsight: Posterior-guided training of retrievers for improved open-ended generation
ICLR 2022
Memory-Based Model Editing at Scale
ICML 2022
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
NeurIPS 2022