conftrace_

feedback loop

30 papers

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Co-occurring keywords

large language model (13587) causal inference (1630) performative prediction (31) recommender system (534) causal discovery (460) self-fulfilling prophecy (3) language model (4599) retrieval-augmented generation (1592) relational causal model (2) graphical model (864)

Papers

Addressing Polarization and Unfairness in Performative Prediction AAAI 2026
TEN: Table Explicitization, Neurosymbolically ACL 2026
Human-AI Coevolution (Abstract Reprint) IJCAI 2025
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams AAAI 2025
Training Language Model to Critique for Better Refinement ACL 2025
The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation ACL 2025
A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops ACL 2025
Mind_Matrix at CQs-Gen 2025: Adaptive Generation of Critical Questions for Argumentative Interventions ACL 2025
Would Deep Generative Models Amplify Bias in Future Models? CVPR 2024
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets NAACL 2024
Spiral of Silence: How is Large Language Model Killing Information Retrieval?—A Case Study on Open Domain Question Answering ACL 2024
SWAG: Storytelling With Action Guidance EMNLP 2024
Local Dependence Graphs for Discrete Time Processes CLEAR 2023
Learning Relational Causal Models with Cycles through Relational Acyclification AAAI 2023
Counterfactual Augmentation for Multimodal Learning Under Presentation Bias EMNLP 2023
Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback OSDI 2023
Robustness of model predictions under extension UAI 2022
Relational Causal Models with Cycles: Representation and Reasoning CLEAR 2022
Saiyan: Design and Implementation of a Low-power Demodulator for LoRa Backscatter Systems NSDI 2022
Anticipating Performativity by Predicting from Predictions NIPS 2022
Competing AI: How does competition feedback affect machine learning? AISTATS 2021
Correcting Exposure Bias for Link Recommendation ICML 2021
Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation MLHC 2020
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles UAI 2020
Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines CVPR 2018