Tim Rocktäschel
62 papers · 2013–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🗺️ Taxonomy Completionist (10) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(10)
🧭
Keyword Pioneer
🌟
Keyword Trendsetter Combo
(6)
🤝
Dynamic Duo
(19)
👥
Mega-Team
(27)
🌱
Topic Pioneer
👑
Triple Crown
🔬
Deep Specialist
(10)
🏆
Grand Slam
📈
Trend Setter
🗃️
Keyword Collector
(171)
💎
Century Club
(61)
🚀
Conference Pioneer
🔥
Unstoppable
(11)
❓
The Questioner
(2)
⚡
Prolific Year
(5)
Conferences
NIPS (15)
ICLR (12)
ICML (12)
EMNLP (7)
ACL (4)
NAACL (4)
IJCNLP (3)
AAAI (2)
SEMEVAL (2)
IJCAI (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(9)
question answering
(5)
deep reinforcement learning
(4)
large language model
(4)
knowledge base
(4)
curriculum learning
(4)
natural language
(3)
imitation learning
(3)
language model
(3)
natural language inference
(3)
text generation
(3)
representation learning
(3)
neural network
(3)
generative model
(2)
gradient estimation
(2)
natural language understanding
(2)
adversarial learning
(2)
procedural generation
(2)
link prediction
(2)
symbolic reasoning
(2)
Papers
Check Your Work: Structured Checklist Feedback for Improving Large Language Models
ACL 2026
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
ICLR 2025
Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
ICLR 2025
Investigating Non-Transitivity in LLM-as-a-Judge
ICML 2025
Debating with More Persuasive LLMs Leads to More Truthful Answers
ICML 2024
Position: Open-Endedness is Essential for Artificial Superhuman Intelligence
ICML 2024
Genie: Generative Interactive Environments
ICML 2024
H-GAP: Humanoid Control with a Generalist Planner
ICLR 2024
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
ICLR 2024
Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
ICML 2024
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
NIPS 2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
NIPS 2024
The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
NIPS 2023
Human-Timescale Adaptation in an Open-Ended Task Space
ICML 2023
Efficient Planning in a Compact Latent Action Space
ICLR 2023
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
ICLR 2023
Dungeons and Data: A Large-Scale NetHack Dataset
NIPS 2022
Improving Policy Learning via Language Dynamics Distillation
NIPS 2022
GriddlyJS: A Web IDE for Reinforcement Learning
NIPS 2022
Learning General World Models in a Handful of Reward-Free Deployments
NIPS 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
NIPS 2022
Improving Intrinsic Exploration with Language Abstractions
NIPS 2022
Exploration via Elliptical Episodic Bonuses
NIPS 2022
Evolving Curricula with Regret-Based Environment Design
ICML 2022
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds
NAACL 2021
Prioritized Level Replay
ICML 2021
KILT: a Benchmark for Knowledge Intensive Language Tasks
NAACL 2021
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
ICLR 2021
Replay-Guided Adversarial Environment Design
NIPS 2021
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
ICLR 2021
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
NIPS 2020
How Decoding Strategies Affect the Verifiability of Generated Text
EMNLP 2020
Differentiable Reasoning on Large Knowledge Bases and Natural Language
AAAI 2020
Generating Interactive Worlds with Text
AAAI 2020
Learning Reasoning Strategies in End-to-End Differentiable Proving
ICML 2020
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
EMNLP 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
ICLR 2020
RTFM: Generalising to New Environment Dynamics via Reading
ICLR 2020
The NetHack Learning Environment
NIPS 2020
Learning to Speak and Act in a Fantasy Text Adventure Game
EMNLP 2019
Stable Opponent Shaping in Differentiable Games
ICLR 2019
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language
ACL 2019
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs
ICML 2019
A Survey of Reinforcement Learning Informed by Natural Language
IJCAI 2019
Learning to Speak and Act in a Fantasy Text Adventure Game
IJCNLP 2019
Language Models as Knowledge Bases?
IJCNLP 2019
Language Models as Knowledge Bases?
EMNLP 2019
e-SNLI: Natural Language Inference with Natural Language Explanations
NIPS 2018
Interpretation of Natural Language Rules in Conversational Machine Reading
EMNLP 2018
DiCE: The Infinitely Differentiable Monte Carlo Estimator
ICML 2018
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
ICLR 2018
Jack the Reader – A Machine Reading Framework
ACL 2018
Programming with a Differentiable Forth Interpreter
ICML 2017
End-to-end Differentiable Proving
NIPS 2017
Stance Detection with Bidirectional Conditional Encoding
EMNLP 2016
Lifted Rule Injection for Relation Embeddings
EMNLP 2016
Matrix and Tensor Factorization Methods for Natural Language Processing
ACL 2015
Matrix and Tensor Factorization Methods for Natural Language Processing
IJCNLP 2015
Injecting Logical Background Knowledge into Embeddings for Relation Extraction
NAACL 2015
WOLFE: An NLP-friendly Declarative Machine Learning Stack
NAACL 2015
WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting
SEMEVAL 2013
WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs
SEMEVAL 2013