Sep 4, 2026
A Computationally Feasible Framework for Causal Probabilistic Explanation
A Computationally Feasible Framework for Causal Probabilistic Explanation This paper introduces Probabilistic Causal Impact (PCI), a new method for determini...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
Sep 4, 2026
Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments
Terminal-Universe is a framework designed to solve the scarcity of realistic, executable environments for training terminal-based code agents.
Sep 4, 2026
Interface-Induced Trajectory Censoring
Interface-Induced Trajectory Censoring investigates a critical disconnect between how AI models are trained and how they are evaluated.
Sep 4, 2026
STAIR (STructure Aware Information Retriever): A novel dataset and LLM based retriever for document structure augmentation
STAIR (STructure Aware Information Retriever): A novel dataset and LLM based retriever for document structure augmentation Retrieval Augmented Generation (RA...
Sep 4, 2026
Lose the Order, Keep the Hierarchy: Deordering HTN Plans
Lose the Order, Keep the Hierarchy: Deordering HTN Plans Hierarchical Task Network (HTN) planning is a method used in artificial intelligence to solve comple...
Sep 4, 2026
Rethinking On-Policy Distillation of Large Language Models II: One Training Example
This paper investigates the role of training data in On-Policy Distillation (OPD), a technique where a student model learns by generating its own responses a...
Sep 4, 2026
Epistemic Warrant for LLM Recommendations: Characterizing the Basis for Reliance When Ground Truth Is Unavailable
Epistemic Warrant for LLM Recommendations: Characterizing the Basis for Reliance When Ground Truth Is Unavailable As organizations increasingly rely on Large...
Sep 4, 2026
DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training
DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training introduces a new way to train AI agents for complex, multi-step ta...
Sep 4, 2026
Common-Witness Certificates and Sharp Feature Bounds for Counterfactual Image Auditing
Common-Witness Certificates and Sharp Feature Bounds for Counterfactual Image Auditing This paper addresses a fundamental challenge in auditing counterfactua...
Sep 4, 2026
LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening
LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening This research explores whether Large Language Models (LLMs) can effectively s...
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