AI research lab @nyuniversity led by @mengyer | Partially run by students | Also find us https://xitter.gq/t.co/IHXOiESm6f on bsky
New York
Joined November 2024
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Agentic Learning AI Lab @agentic_ai_lab presents at #ICML2026 in Seoul✈️🇰🇷 Come check out our latest research!
📍Main Conference Papers
Temporal Straightening for Latent Planning
Tue Jul 7 10:30am Hall A #1509
Context Tuning for In-Context Optimization
Wed Jul 8 5pm Hall A #2510
📍Workshop Papers
The Surprising Effectiveness of Deleting Weights in LLM Reasoning and Adaptation
Fri Jul 10 Rm 318 | Foundations of Deep Generative Models Workshop
Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
Sat Jul 11 Rm 401 | Human-AI Co-Creativity Workshop
Aligning LLMs with Human Uncertainty: A Beta-Bernoulli Calibrator for LLM Forecasting
Sat Jul 11 Gr. Ballroom 104–105 | Forecasting as a New Frontier of Intelligence Workshop
Alive and Predicting: A Live Evaluation of Multi-Step Forecasting Agents
Sat Jul 11 Gr. Ballroom 104–105 | Forecasting as a New Frontier of Intelligence Workshop
See threads below for details!🧵👇
agentic learning ai lab retweeted
The CDS November Research Feature is here! In her paper "AdaJEPA: An Adaptive Latent World Model," Ying Wang (@yingwww_ ) introduces a world model that keeps learning after training. Read more on AdaJEPA & other CDS research in this month’s feature! t.e2ma.net/webview/130xei/dd…
agentic learning ai lab retweeted
New paper: Outerloop: Open and Trustworthy Multi-Agent Autoresearch. In most open autoresearch systems, the agent grades its own results. Outerloop is a kernel that runs agents as untrusted programs and keeps measurement and review outside their sandboxes.
agentic learning ai lab retweeted
NYU Center for Data Science is hiring Faculty Fellows! Apply by Nov 24 apply.interfolio.com/193498
CDS is hiring Faculty Fellows for fall 2027!
Two-year appointments with independent research, research and travel funds, and one course to teach per year.
Apply by November 24 for full consideration: apply.interfolio.com/193498
agentic learning ai lab retweeted
World models can fail when the world changes.
That's why CDS PhD student Ying Wang (@yingwww_), CDS founding director Yann LeCun (@ylecun) & CDS Assistant Professor Mengye Ren (@mengyer) built AdaJEPA to adapt during planning.
nyudatascience.medium.com/a-…
agentic learning ai lab retweeted
New #NVIDIA paper: what if robots never had to wait for their own thoughts?
TacitVLA learns to reason in chain-of-thought or subtasks, but its actions never read them.
→ Keeps the gains of reasoning at up to 3.4× lower latency on 4 benchmarks, and tops RoboMME and RMBench 🧵👇
Come say hi to Jack at #COLM and learn about our joint work with @hongseu33’s group on HyperThink, skipping slow reasoning by turning each question into a fast weight update!
HyperThink: Text-to-Parameter Hypernetworks for Efficient Reasoning
🕸️: hyperthink-llm.github.io/
What if LLMs could think in weights, not tokens?
Introducing HyperThink (#COLM2026, co-led with @kdgyun425): a hypernetwork writes a per-question weight update to the LLM for it to skip the long thinking trace, a step toward accurate System 1 thinking! 🧵👇
📍 Tomorrow at @COLM_conf! Oct 6 (Tue), 4:30 to 6:30 PM, board #97, Franciscan C
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agentic learning ai lab retweeted
What if LLMs could think in weights, not tokens?
Introducing HyperThink (#COLM2026, co-led with @kdgyun425): a hypernetwork writes a per-question weight update to the LLM for it to skip the long thinking trace, a step toward accurate System 1 thinking! 🧵👇
📍 Tomorrow at @COLM_conf! Oct 6 (Tue), 4:30 to 6:30 PM, board #97, Franciscan C
agentic learning ai lab retweeted
Honored to receive the 2nd Annual Google ML and Systems Junior Faculty Award for our work on adaptable ML systems and agents. Grateful to @Google for the support, and to my students. More to come on adaptable agents, in open source and open science.
Outerloop is the open autoresearch stack we build and run in the lab. Check it out and deploy on your own cluster! outerloop.science
Outerloop 0.1.0 is out. A fleet of AI agents that improve your benchmarks on your code. Agents propose changes, run them on your cluster, and open pull requests when the metrics improve. We are open source. Let's embrace open science! Get started at outerloop.science
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agentic learning ai lab retweeted
The DOE has selected the first round of projects for its Genesis Mission, a national push to speed up scientific discovery with AI.
Two CDS faculty are on board:
📷️ Mengye Ren (@mengyer) on MARS
📷️ Juliana Freire (@jfreirenet) on DAISY
nyu.edu/about/news-publicati…
agentic learning ai lab retweeted
Hot take: In-context learning is powerful, but one forward pass over the context is not enough.
Introducing Context Tuning: efficient LLM adaptation by refining memory representations rather than model weights, empowering ICL with inference-time optimization.
📍Tomorrow at @icmlconf! Jul 8 (Wed), 5 PM, Hall A #2510
📎agenticlearning.ai/context-t…
agentic learning ai lab retweeted
Agentic Learning AI Lab @agentic_ai_lab presents at #ICML2026 in Seoul✈️🇰🇷 Come check out our latest research!
📍Main Conference Papers
Temporal Straightening for Latent Planning
Tue Jul 7 10:30am Hall A #1509
Context Tuning for In-Context Optimization
Wed Jul 8 5pm Hall A #2510
📍Workshop Papers
The Surprising Effectiveness of Deleting Weights in LLM Reasoning and Adaptation
Fri Jul 10 Rm 318 | Foundations of Deep Generative Models Workshop
Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
Sat Jul 11 Rm 401 | Human-AI Co-Creativity Workshop
Aligning LLMs with Human Uncertainty: A Beta-Bernoulli Calibrator for LLM Forecasting
Sat Jul 11 Gr. Ballroom 104–105 | Forecasting as a New Frontier of Intelligence Workshop
Alive and Predicting: A Live Evaluation of Multi-Step Forecasting Agents
Sat Jul 11 Gr. Ballroom 104–105 | Forecasting as a New Frontier of Intelligence Workshop
See threads below for details!🧵👇
Agentic Learning AI Lab @agentic_ai_lab presents at #ICML2026 in Seoul✈️🇰🇷 Come check out our latest research!
📍Main Conference Papers
Temporal Straightening for Latent Planning
Tue Jul 7 10:30am Hall A #1509
Context Tuning for In-Context Optimization
Wed Jul 8 5pm Hall A #2510
📍Workshop Papers
The Surprising Effectiveness of Deleting Weights in LLM Reasoning and Adaptation
Fri Jul 10 Rm 318 | Foundations of Deep Generative Models Workshop
Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
Sat Jul 11 Rm 401 | Human-AI Co-Creativity Workshop
Aligning LLMs with Human Uncertainty: A Beta-Bernoulli Calibrator for LLM Forecasting
Sat Jul 11 Gr. Ballroom 104–105 | Forecasting as a New Frontier of Intelligence Workshop
Alive and Predicting: A Live Evaluation of Multi-Step Forecasting Agents
Sat Jul 11 Gr. Ballroom 104–105 | Forecasting as a New Frontier of Intelligence Workshop
See threads below for details!🧵👇
agentic learning ai lab retweeted
Warm take: Your world model should never stop learning
Introducing AdaJEPA, an adaptive WM that plans, acts, and adapts in a closed loop. Every action leads to a new observation, and every transition refines the latent representation and prediction.
📝: agenticlearning.ai/adajepa/
Aligning LLMs with Human Uncertainty: A Beta-Bernoulli Calibrator for LLM Forecasting
@ameliadai_ @mengyer
We propose a simple post-hoc calibrator that maps an LLM's verbalized point forecast to a Beta distribution over event probability, trained on both binary outcomes and human forecasts.
xitter.gq/ameliadai_/status/2071…
🧐Can we use the wisdom of crowds to calibrate LLM forecasters?
Introducing Beta-Bernoulli Calibrator (BBC): besides realized outcomes, we also learn from human forecast distributions, which reflect both crowd beliefs and consensus.
🔗agenticlearning.ai/beta-bern…
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Alive and predicting: A Live Evaluation of Multi-Step Forecasting Agents
@ww7370 @ameliadai_ @mengyer
We deployed a multi-step LLM forecasting agent live on prediction markets and logged every stage, tool call, and forecast to see where its accuracy comes from.
Follow our live agent at forecast.agenticlearning.ai
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