Human-AI Collaboration

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Human-Ai Collaboration

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Human-Ai Interaction

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Anthropomorphism

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Trading Human Curation for Synthetic Augmentation in RLVR
Jun 2, 2026Akshansh, Leonardo Rosa Rodrigues, Michael Korostelev +2Reinforcement Learning With Verifiable Reward Search-Augmented Reasoning
Framing Migration News with LLMs: Structured CoT as a Support for Human Interpretation
Jun 2, 2026David Alonso del Barrio, Jing Wen, Daniel Gatica-PerezTask Framing Refugee Outcomes
Collaborative Disagreement Resolution for Scalable Oversight
Jun 2, 2026Yuyang Jiang, Chacha Chen, Teng Wu +4Multi-Agent Debate Scalable Oversight
Attend to Anything: Foundation Model for Unified Human Attention Modeling
Jun 2, 2026Wenzhuo Zhao, Ronghao Xian, Keren Fu +1Cross-Modal Attention Vision Foundation Models
The Geometry of LLM-as-Judge: Why Inter-LLM Consensus Is Not Human Alignment
Jun 2, 2026Sourabrata Mukherjee, Hamna Hamna, Kalika Bali +1Llm-As-A-Judge Judges
A Practice Auditing Framework for Large Language Model Use: Collective Empiricism, Pseudo-Rational Cognition, and Governance of AI-Generated Content
Jun 2, 2026Yang Zhao, Yingshuo Li, Zeyu ZhangArtificial Intelligence Governance Ai-Generated
Chatbots Output Meaningful (but Problematic) Language
Jun 2, 2026Matthew Stone, Una StojnićChatbots Anthropomorphism
Diagnosis of Human Object Interaction Detectors for Real World Educational Applications
Jun 1, 2026Divya Mereddy, Ashwin Tudur Sadashiva, Marcos Quinones-Grueiro +1Articulated Objects Human
HumanNOVA: Photorealistic, Universal and Rapid 3D Human Avatar Modeling from a Single Image
Jun 1, 2026Hezhen Hu, Wangbo Zhao, Lanqing Guo +6Animatable 3D Human Avatars High-Fidelity Avatar
Not What, But How: A Framework for Auditing LLM Responses across Positioning, Generalization, Anthropomorphism, and Maxims
Jun 1, 2026Siddhesh Milind Pawar, Sarah Masud, Haneul Yoo +2Large Language Model Responses Large Language Model Evaluation
HLL: Can Agents Cross Humanity's Last Line of Verification?
Jun 1, 2026Xinhao Song, Su Su, Sirui Song +6Multimodal Agents Captcha-Capable Native Graphical User Interface Agent
TROPHIES: Temporal Reconstruction of Places, Humans, and Cameras from Multi-view Videos
Jun 1, 2026Jinpeng Liu, Yukang Xu, Yutong Li +1Spatio-Temporal Coherence Human
Community-Aware Assessment of Social Textual Engagement and Resonance: A Human-Centric Perspective on User-Generated Content Evaluation
Jun 1, 2026Tianjiao Li, Kai Zhao, Xiang Li +2Multimodal Evaluation Video Quality
Gravity-Aware Hierarchical Routing for Lightweight SensorLLM on Human Activity Recognition
Jun 1, 2026Hao Li, Mingrui Zheng, Yasuyuki Tahara +1Human Activity Recognition Latent Representation Alignment
Argument Collapse: LLMs Flatten Long-Form Public Debate
Jun 1, 2026Yekyung Kim, Yapei Chang, Chau Minh Pham +1Debate Human Oversight
HAIM: Human-AI Music Datasets for AI Music Production Tracking Benchmark
Jun 1, 2026Seonghyeon Go, Yumin KimMusic Generation Human-Ai Collaboration
Benchmarks for Vision-Language Models in Urban Perception Should Be Reliability-Aware and Negotiated
May 30, 2026Rashid MushkaniEvaluation Benchmarks Multimodal Benchmarks
Interaction-Centered Intelligence: Toward an Interaction-Based Theory of Human-AI Co-Creation
May 30, 2026Nicholas DavisHuman-Ai Collaboration Intelligence
Where's the Structure? A Systematic Literature Review of Empirical Research on Human-AI Collaboration and Hybrid Intelligence for Learning
May 30, 2026Luis P. Prieto, Juan I. Asensio-Pérez, María Jesús Rodríguez-Triana +2Human-Ai Collaboration Education
Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and Humanities
May 30, 2026Wajdi ZaghouaniMultilingual Reasoning Multilingual Large Language Models
Position: Anthropomorphic Misalignment Research Needs Stronger Evidence
May 29, 2026Vansh Gupta, Peter Nutter, Samuel Stante +5Artificial Intelligence Safety Anthropomorphism
If LLMs Have Human-Like Attributes, Then So Does Age of Empires II
May 29, 2026Adrian de WynterAnthropomorphism Emergence
The New Social Image: How AI Competency and AI Proactivity Influence Self- and Peer-Perceptions in the Workplace
May 29, 2026Kuntal Ghosh, Marc Hassenzahl, Shadan SadeghianHuman-Ai Collaboration Teaming
Personalized to Persuade: The Effects of Contextualization and Warmth on Trust and Reliance in Conversational AI
May 29, 2026Mert Yazan, Suzan Verberne, Frederik Bungaran Ishak SitumeangPersuasion Human-Ai Interaction
RealityTest: How People Probe AI Identity and Whether Models Disclose It
May 29, 2026Anna Gausen, Sarenne Wallbridge, Bessie O'Dell +2Human-Ai Interaction
Extending AI for Research to the Humanities: A Multi-Agent Framework for Evidence-Grounded Scholarship
May 29, 2026Yating Pan, Jiajun Zhang, Jun Wang +1Autoresearch Human Oversight
TUX: Measuring Human--AI Tacit Understanding
May 29, 2026Yueshen Li, Hanyi Min, Vedant Das Swain +1Artificial Intelligence Alignment Human-Ai Collaboration
Rationalize: Shared Semantic Reasoning for Human-AI Alignment
May 28, 2026Aritra Dasgupta, Naga Datha Saikiran Battula, Avina Nakarmi +3Artificial Intelligence Alignment Human-Ai Collaboration
Position: Every Ground Truth is a Human Construction, not an Objective Truth
May 28, 2026Charlotte Högberg, Ericka Johnson, Kiri L. WagstaffGround Truth Truth
Archon: A Unified Multimodal Model for Holistic Digital Human Generation
May 28, 2026Chong Bao, Shichen Liu, Lijun Yu +9Multimodal Generation Pre-Trained Video Diffusion Models
Teaching Values to Machines: Simulating Human-Like Behavior in LLMs
May 28, 2026Asaf Yehudai, Naama Rozen, Ariel GeraHuman Values Behavioral Alignment
From Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration
May 28, 2026Ngoc Luyen Le, Marie-Hélène Abel, Bertrand LaforgeHuman-Ai Collaboration Generative Artificial Intelligence
MOOSE-Copilot: A Web-Based Interactive Assistant for Unified Exploratory and Fine-Grained Scientific Hypothesis Discovery
May 28, 2026Hongran An, Zonglin YangHypothesis Generation Scientific Discovery
Accommodation Goes Both Ways: Studying Linguistic Convergence Between Humans and Language Models
May 28, 2026Terra BlevinsLinguistics Multi-Turn Large Language Model Conversations
When and How Human Curation Backfires: Preference Alignment under Multi-Model Self-Consuming Loop
May 28, 2026Yang Zhang, Xiukun Wei, Xueru ZhangPreference Alignment Data-Curation
Trends in AI and Human-AI Interaction in Clinical Trials -- A Hybrid Human-AI Exploration
May 27, 2026Sandra Woolley, Tim Collins, Khalid Khattak +3Human-Ai Interaction Human-Ai Collaboration
Beyond Recall: Behavioral Specification as an Interpretive Layer for AI Personalization
May 27, 2026Aarik GulayaArtificial Intelligence Alignment Interpretive Openness
From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs
May 27, 2026Jiajie Li, Erwei Wang, Zhiru Zhang +1Agent Skill Ecosystems Human Oversight
VLMs May Not Globally Enhance Human Alignment over LLMs During Natural Reading
May 27, 2026Jinzhou Wu, Zhengwu Ma, Jixing Li +2Vision-Language Multilingual Large Language Models
Review Arcade: On the Human Alignment and Gameability of LLM Reviews
May 27, 2026Hans Ole Hatzel, Sebastian Steindl, Jan StrichArtificial Intelligence Reviewers Review
Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning
May 27, 2026Yahan Yu, Noa Nakanishi, Fei ChengLarge Language Model Reasoning Large Language Model Performance
AI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering?
May 27, 2026Maharshi Gor, Yoo Yeon Sung, Yu Hou +4Human-Ai Collaboration Trustworthy Artificial Intelligence
BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German Law
May 27, 2026Sebastian Nagl, Ann-Kristin Mayrhofer, Martin Heidebach +6Legal Domain German
Localizing Input Uncertainty Quantification for Large Language Models via Shapley Values
May 27, 2026Seongjun Lee, Suwan Yoon, Changhee LeeLarge Language Model Uncertainty Reliable Uncertainty Quantification
Training Stratigraphy: Persistent Behavioral Artifacts in Large Language Models Observed Through Longitudinal AI-Human Interaction
May 27, 2026Chen Ying Claude, Zhihan LuoHuman-Ai Interaction Stratification
I Hear, Therefore I Trust: A Socio-Technical Investigation of Humans as Synthetic Speech Detectors
May 27, 2026Lelia Erscoi, Tomi KinnunenAudio Deepfake Detection Speaker Recognition
QSignAI: Quantum-Randomness-Seeded Identity Signatures at the Intersection of AI for Science and Science for AI
May 26, 2026Dongping Liu, Aoyu Zhang, Luyao ZhangQuantum Machine Learning Human-Ai Interaction
Aligning LLMs with Human Uncertainty: A Beta-Bernoulli Calibrator for LLM Forecasting
May 26, 2026Hui Dai, Ryan Teehan, Parsa Torabian +1Large Language Model Uncertainty Epistemic Uncertainty
Reasoning and Planning with Dynamically Changing Norms
May 26, 2026Taylor Olson, Roberto Salas-Damian, Kenneth D. ForbusSocial Norms Artificial Intelligence Agents
You Are in Control of Your State: Why Human Outcomes Are Controllable Through Causal State Intervention
May 26, 2026Suraj Biswas, Saurav Gupta, Pritam MukherjeeCausal Intervention Controllability
GrowLoop: Self-Evolving Conversation Evaluation Seeded by Human
May 26, 2026Yihang Lin, Yunze Gao, Zeyang Lin +3Conversational Benchmarks Human
Path-dependent program induction under resource constraints explains human sequence learning
May 26, 2026Hanqi Zhou, David G. Nagy, Peter Dayan +1Experience Human
Towards Shared Embodied Intelligence in Humanoid Robots through Optimization Development and Testing of the Human Aware ergoCub Robot
May 26, 2026Carlotta Sartore, Mohamed Elobaid, Lorenzo Rapetti +13Human-Robot Collaboration Humanoid Robotics
Recon: Reconstruction-Guided Reasoning Synthesis for User Modeling
May 26, 2026Alan Zhu, Mihran Miroyan, Carolyn Wang +4Large Reasoning Models Reasoning Traces
Accountable Human-AI Deliberation with LLMs: Scaling Collective Intelligence through Symbiotic Scaffolding
May 26, 2026Wajdi ZaghouaniDeliberation Human-Ai Collaboration
Self-Intersection-Aware 3D Human Motion Generation Using an Efficient Human Sphere Proxy
May 26, 2026Pascal Herrmann, Maarten Bieshaar, Dennis Mack +2Human Motion Generation Human Mesh Recovery
E $^3$ C: Video Generation with 3D Environmental Memory and Ego-Exo Human Pose Control
May 25, 2026Qiao Gu, Lingni Ma, Adam W Harley +3Controllable Video Generation Egocentric Video
Considerations for an Integrated Detector Design at FCC-ee: A Human-AI Exploration
May 25, 2026Charles YoungHuman-Ai Collaboration Artificial Intelligence Assistants
The Timing Dependencies of Trust: Speed, Accuracy, and cBCI Neuro-Decoupling in Human-AI Teams
May 25, 2026Christopher Baker, Stephen Hinton, Akashdeep Nijjar +4Human-Ai Collaboration Team Formation
Testing the Deliteralization Hypothesis in Human and Machine Translation
May 25, 2026Malik Marmonier, Rachel Bawden, Benoît SagotNeural Machine Translation Models Machine Translation

Jun 2, 2026 · cs.LGJ/K move · Enter open · S save

Trading Human Curation for Synthetic Augmentation in RLVR

Akshansh, Leonardo Rosa Rodrigues, Michael Korostelev, Youssef Hassan+1

Pareto AI

The supply of high-quality training tasks is a central bottleneck for reinforcement learning from verifiable rewards (RLVR) on agentic language models. Each task requires a sandboxed setup, a prompt, and a hand-authored reward function, and only tasks that pass a quality bar produce useful training signal. Hand-curation at this quality bar does not scale economically to the task counts effective RL training requires, and the substitution rate between automatically generated task variants and human-authored ones is not yet established. We investigate using pre-specified, gate-filtered augmentations of a small hand-authored base as a substitute for additional human curation during RLVR. We formalize the cost-adjusted trade rate

ρ_{\text{cost}}

between augmented and human-authored tasks, measure it through a controlled ablation across training corpora with varying augmentation share, and characterize the end-to-end economics of the augmentation pipeline. Substituting augmented content for additional human-authored tasks retains aggregate held-out generalization on a ten-benchmark suite spanning code, instruction following, reasoning, and multi-turn agentic function-calling. The cost-adjusted trade rate

ρ_{\text{cost}}

between gated synthetic and human-authored RLVR tasks stays in

[1.4\times, 11.6\times]

across the plausible

c_{\text{human}}/c_{\text{aug}}

range.

Reinforcement Learning With Verifiable Reward Search-Augmented Reasoning External Reward Models Data-Curation Human

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