Deep Cognition and Language Research (DeCLaRe) Lab

university

https://declare-lab.github.io

AI & ML interests

Natural Language Processing

Recent Activity

soujanyaporia submitted a paper 5 days ago

MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents

vernontoh submitted a paper about 1 month ago

ScrambleToolBench: Agents Search Exhaustively Even When Their Own Map Points to the Next Step

Sssunset authored a paper about 1 month ago

$Σ$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems

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Papers

MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents

ScrambleToolBench: Agents Search Exhaustively Even When Their Own Map Points to the Next Step

View all Papers

declare-lab 's papers 11

Submitted by

Soujanya Poria

MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents

declare-lab

Deep Cognition and Language Research (DeCLaRe) Lab

Submitted by

Vernon Y.H. Toh

ScrambleToolBench: Agents Search Exhaustively Even When Their Own Map Points to the Next Step

declare-lab

Deep Cognition and Language Research (DeCLaRe) Lab

Submitted by

Soujanya Poria

IDEAgent: Agentic Quality-Diversity Search for Research Idea Generation

declare-lab

Deep Cognition and Language Research (DeCLaRe) Lab

Submitted by

Soujanya Poria

On the Limits of LLM-as-Judge for Scientific Novelty Assessment

declare-lab

Deep Cognition and Language Research (DeCLaRe) Lab

Submitted by

Soujanya Poria

GRAIL: Gradient-Reweighted Advantages for Reinforcement Learning with Verifiable Rewards

declare-lab

Deep Cognition and Language Research (DeCLaRe) Lab

Submitted by

Soujanya Poria

Error-Free Linear Attention is a Free Lunch: Exact Solution from Continuous-Time Dynamics

declare-lab

Deep Cognition and Language Research (DeCLaRe) Lab

Submitted by

Soujanya Poria

NORA-1.5: A Vision-Language-Action Model Trained using World Model- and Action-based Preference Rewards

declare-lab

Deep Cognition and Language Research (DeCLaRe) Lab

Submitted by

Soujanya Poria

10 Open Challenges Steering the Future of Vision-Language-Action Models

declare-lab

Deep Cognition and Language Research (DeCLaRe) Lab

Submitted by

Soujanya Poria

Demystifying deep search: a holistic evaluation with hint-free multi-hop questions and factorised metrics

declare-lab

Deep Cognition and Language Research (DeCLaRe) Lab

Submitted by

Soujanya Poria

OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always!

declare-lab

Deep Cognition and Language Research (DeCLaRe) Lab

Submitted by

Soujanya Poria

Training Vision-Language Process Reward Models for Test-Time Scaling in Multimodal Reasoning: Key Insights and Lessons Learned

declare-lab

Deep Cognition and Language Research (DeCLaRe) Lab