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Workshop Thu, Jul 9, 2026 • 4:00 PM – 1:00 AM PDT GRAND BALLROOM 103

Trustworthy AI for Good Workshop

Terry J. C. Zhang ⋅ Zhijing Jin ⋅ Milind Tambe ⋅ Rada Mihalcea ⋅ Changling Li ⋅ Joan Nwatu ⋅ David Lie ⋅ Van Q. Truong ⋅ Jerick Shi
Project Page [ OpenReview] 

Abstract

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Schedule

Timezone: America/Los_Angeles
4:00 PM
Opening Remarks
4:15 PM
Oral Session I
5:40 PM
Coffee Break
7:00 PM
Keynote Speaker: Oana Ignat
Oana Ignat
9:30 PM
Oral Session II
Data Journalist Agent: Transforming Data into Reproducible Generative Story
Kevin Qinghong Lin ⋅ Batu El ⋅ Yuhong Shi ⋅ Pan Lu ⋅ Phil Torr ⋅ James Zou
HABERMOLT: Delegating Deliberation to AI Representatives
Joseph Low ⋅ Oscar Duys ⋅ Juan Formanek ⋅ Lewis Hammond ⋅ Michiel Bakker
Evaluation without Generation: Non-Generative Assessment of Harmful Model Specialization with Applications to CSAM
Vinith Suriyakumar ⋅ Ayush Sekhari ⋅ Lena Stempfle ⋅ Robertson Wang ⋅ Michael Simpson ⋅ Rebecca Portnoff ⋅ Marzyeh Ghassemi ⋅ Ashia Wilson
Quantamination: Dynamic Quantization Can Leak Your Data Across the Batch
Hanna Foerster ⋅ Ilia Shumailov ⋅ Cheng Zhang ⋅ Aaron Zhao ⋅ Jamie Hayes ⋅ Robert Mullins
Same Facts, Different Updates: Inference Setup Shapes LLM Behavior in Medical Allocation
Spencer Gibson ⋅ Tyler Crosse ⋅ Magnus Saebo ⋅ Achyutha Menon ⋅ Eyon Jang ⋅ Diogo Cruz
StegoBench: Evaluating steganography potential in language models through supervised learning
Bryce Meyer ⋅ Robert Krzyzanowski ⋅ Iván Arcuschin ⋅ Matthew Lee ⋅ Georg Lange
Mitigating Watermark Forgery in Generative Models via Randomized Key Selection
Toluwani Aremu ⋅ Noor H Hussein ⋅ Munachiso Samuel Nwadike ⋅ Samuele Poppi ⋅ Jie Zhang ⋅ Karthik Nandakumar ⋅ Neil Gong ⋅ Nils Lukas
Social Choice Foundations for Simulation-Augmented Generation
Sonja Kraiczy ⋅ Smitha Milli ⋅ Ratip Emin Berker ⋅ Avinandan Bose ⋅ Brandon Amos ⋅ Jamelle Watson-Daniels ⋅ Maximilian Nickel ⋅ Edith Elkind ⋅ Ariel Procaccia
Beyond Agreeable Chatbots: Context-Aware Safety Oversight for Trustworthy Patient-Facing LLMs
Elham Nasarian ⋅ Abhilash Neog ⋅ Kwok-leung Tsui ⋅ Niyousha Hosseinichimeh
Subliminal Transfer of Positional Biases in Language Models
Jiahang He ⋅ Anya Singh ⋅ Cabrel Happi ⋅ Varun Nair ⋅ Vidyut Baradwaj ⋅ Jai Relan
Auditing Emotion-Vector-Steered Political Bias in Open-Weight LLMs
Gabor Hollbeck ⋅ Baran Peters ⋅ Alexander von Recum ⋅ Kevin Riehl ⋅ Alec McGail ⋅ Julian R.C.H.S. Windeck ⋅ Kevin OSullivan ⋅ Robert Jakob
Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models
Saemi Moon ⋅ Suhyeon Jun ⋅ Seoyeon Lee ⋅ Dongwoo Kim
When Language Representations Interact: Separability and Cross-Lingual Effects in LLMs
Boris Marinov ⋅ Angira Sharma ⋅ Christian Schroeder de Witt ⋅ Phil Torr ⋅ Anisoara Calinescu ⋅ Jialin Yu
Reimagining Meaningful Model Multiplicity
Ira Globus-Harris ⋅ Nikhil Garg
What do Uncertainty Lens tell about Emergent Misalignment?
Aleksei Beglov ⋅ Daniil Korbut ⋅ Elena Tutubalina ⋅ Mikhail Seleznyov
RAGEN-2: Reasoning Collapse in Agentic RL
Zihan (Zenus) Wang ⋅ Chi Gui ⋅ Xing Jin ⋅ Qineng Wang ⋅ Licheng Liu ⋅ Kangrui Wang ⋅ Shiqi Chen ⋅ Linjie Li ⋅ Zhengyuan Yang ⋅ Pingyue Zhang ⋅ Yiping Lu ⋅ Jiajun Wu ⋅ Li Fei-Fei ⋅ Lijuan Wang ⋅ Yejin Choi ⋅ Manling Li
Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs
Robert Graham ⋅ Edward Stevinson ⋅ Yariv Barsheshat
Localizing Text Anonymization for Trustworthy AI: Extending RAT-Bench to Malaysian Microdata and PII
David Chew ⋅ Zexi Yao ⋅ Nataša Krčo ⋅ Matthieu Meeus ⋅ Waqas Khalid Obeidy ⋅ Yves-Alexandre de Montjoye
AI Governance in Social Work: A Triple Mandate-Informed Accountability Model
Eunhye Ahn ⋅ Moon Choi ⋅ Claire R McNellan ⋅ Lauri Goldkind
NEMO: Benchmarking Natural-Language Explanations of Vision Model Errors
Nam Hyeon-Woo ⋅ Yoonsu Kim ⋅ Kihoon Son ⋅ Juho Kim ⋅ Tae-Hyun Oh
Do LLMs Take Care of Their Own? Similarity Signals Can Induce Cooperation
Akash Kundu ⋅ Emanuel Tewolde ⋅ Ratip Emin Berker ⋅ Samuel F. Brown ⋅ Vincent Conitzer
WARP: Measuring and Mitigating Evaluation Awareness in Browser-Agent Safety Benchmarks
Jasmine X Li ⋅ Ashton Chew ⋅ Maxwell Lin ⋅ Eliot Jones ⋅ Xiaohan Fu ⋅ Andy Zou
Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots
Mark Vero ⋅ Fabian Kaczmarczyck ⋅ Ivan Petrov ⋅ Ilia Shumailov ⋅ Niels Heinen ⋅ Jamie Hayes ⋅ Tianqi Fan ⋅ Luca Invernizzi ⋅ Martin Vechev
AI-Mediated Communication Can Steer Collective Opinion
Stratis Tsirtsis ⋅ Kai Rawal ⋅ Chris Russell ⋅ Brent Mittelstadt ⋅ Sandra Wachter
Training ML Models with Predictable Failures
Will Schwarzer ⋅ Scott Niekum
Making Visible, Making Invisible: How an AI Scribe Reshapes Documentation Authority in Social Work
Eunki Joung ⋅ Hong Chul Nam ⋅ Geonhwi Hwang ⋅ Moohyun Lee ⋅ Hyun Kwon
Narrow Secret Loyalty Dodges Black-Box Audits
Alfie Lamerton ⋅ Fabien Roger
Auditing LLMs for Hidden Behaviors using Model Diffing
Atharv Naphade ⋅ Emil Ryd ⋅ Keshav Shenoy
Understanding Consistency Through Internal Representations in Large Vision-Language Models
Thanh Quoc Hung Le ⋅ Nguyen Hung-Quang ⋅ Hyeonjeong Ha ⋅ Zhenhailong Wang ⋅ Hoang Phan ⋅ Mohit Bansal ⋅ Heng Ji ⋅ Khoa Doan
Beyond Safe Data: Pretraining-Stage Alignment with Regular Safety Reflection
Jinhan Li ⋅ Kexian Tang ⋅ Yihan Xu ⋅ Zhuorui Ye ⋅ Kaifeng Lyu
CPInj: Uncovering Prompt Injection Risks in Textual Collaborative Prompt Optimization
Xinting Liao ⋅ Behnoosh Zamanlooy ⋅ Masoumeh Shafieinejad ⋅ D. Emerson ⋅ Ruinan Jin ⋅ Deval Pandya ⋅ Xiaoxiao Li
Consistency Training Along the Transformer Stack: New Targets and Threats
Sukrati Gautam ⋅ Neil Shah ⋅ Arav Dhoot ⋅ Bryan Maruyama ⋅ Caroline Wei ⋅ Robert Sidey ⋅ Prakhar Gupta ⋅ Zi C Huang ⋅ David Africa
Reasoning Up the Instruction Ladder for Controllable Language Models
Zishuo Zheng ⋅ Vidhisha Balachandran ⋅ Chan Young Park ⋅ Faeze Brahman ⋅ Sachin Kumar
Proximal State Nudging: Reducing Skill Atrophy from AI Assistance
Megha Srivastava ⋅ Jonathan Ouyang ⋅ Eric Ziyang Zhou ⋅ Andrew Silva ⋅ Emily Sumner ⋅ Dorsa Sadigh ⋅ Yuchen Cui ⋅ Deepak Edakkattil Gopinath ⋅ Guy Rosman
Medical Model Synthesis Architectures: A Case Study
Katie Collins ⋅ Marlene Berke ⋅ Ilia Sucholutsky ⋅ Ayman Ali ⋅ Adrian Weller ⋅ Timothy O'Donnell ⋅ Tyler BrookeWilson ⋅ Lionel Wong ⋅ Josh Tenenbaum
Proof-of-Guardrail in AI Agents and What (Not) to Trust from It
Xisen Jin ⋅ Michael Duan ⋅ Aaron Chan ⋅ Zhenglun Chen ⋅ Junyi Du ⋅ Xiang Ren
Selective Safety Steering via Value-Filtered Decoding
Bat-Sheva Einbinder ⋅ Hen Davidov ⋅ Yee-Whye Teh ⋅ Yarin Gal ⋅ Yaniv Romano
Online Agent-as-a-Judge: Situation-Generating Evaluation for Interactive Agents
Hyogon Ryu ⋅ Jeonghwan Kim ⋅ Yewon Lim ⋅ Chaeun Lee ⋅ Jeongwook Kim ⋅ Donghoon Ham
LaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-Training
Minju Gwak ⋅ Minseo Kwak ⋅ Guijin Son ⋅ Alan Ritter ⋅ Jaehyung Kim
Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced Prompts
Prarabdh Shukla ⋅ Ritik . ⋅ Suhas D Rao ⋅ Arpit Agarwal ⋅ Arjun Bhagoji
Few-Shot Truly Benign DPO Attack for Jailbreaking LLMs
Sangyeon Yoon ⋅ Wonje Jeung ⋅ Dongjae Jeon ⋅ Yoonjun Cho ⋅ Albert No
Cooperate to Compete: Strategic Coordination in Multi-Agent Conquest
Abigail O'Neill ⋅ Alan Zhu ⋅ Mihran Miroyan ⋅ Narges Norouzi ⋅ Joseph E Gonzalez
CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas
Emanuel Tewolde ⋅ Xiao Zhang ⋅ David Guzman Piedrahita ⋅ Vincent Conitzer ⋅ Zhijing Jin
Fairness-Aware Low-Rank Representation Fine-Tuning
Parameswaran Kamalaruban ⋅ Mark Anderson ⋅ Stuart Burrell ⋅ Maeve Madigan ⋅ Piotr Skalski ⋅ David Sutton
Attack Selection in Agentic AI Control Evaluations Meaningfully Decreases Safety
Catherine Ge-Wang ⋅ Tyler Crosse ⋅ Benjamin Hadad ⋅ Joachim Schaeffer ⋅ Ram Potham ⋅ Tyler Tracy
LLM Persuasiveness Evaluation: A Structured Review of Automated Methods
Kamile Dementaviciute ⋅ Guillaume Bied ⋅ Tijl De Bie
Efficient Safety Benchmarking via Item Response Theory
Fabio Spagliardi ⋅ Mírian Silva ⋅ Ayan Datta ⋅ Aiden Zhou ⋅ Vamshi Krishna Bonagiri ⋅ Diogo Cruz
Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents
Xu Li ⋅ Simon Yu ⋅ Minzhou Pan ⋅ Yiyou Sun ⋅ Bo Li ⋅ Dawn Song ⋅ Xue Lin ⋅ Weiyan Shi
Do LLMs Follow Their Self-Reported Causal Graphs? A Graph-Contract Audit of Falsifiable Rationales for Trustworthy Decisions
Amine M'Charrak ⋅ Thong Pham ⋅ Thomas Lukasiewicz ⋅ Yuxiao Dong ⋅ Shohei Shimizu
Language Models Can Coarsely Modulate Entropy Under Instruction
Luca Baroni ⋅ Kola Ayonrinde ⋅ Shi Feng ⋅ Puria Radmard
Every Bit, Everywhere, All at Once: A Binomial Multibit LLM Watermark
Thibaud Gloaguen ⋅ Robin Staab ⋅ Mark Vero ⋅ Martin Vechev
Watermarking for Proprietary Dataset Protection
John Kirchenbauer ⋅ Brian Bartoldson ⋅ Bhavya Kailkhura ⋅ Tom Goldstein
Noticing the Watcher: LLM Agents Can Infer CoT Monitoring from Blocking Feedback
Thomas Jiralerspong ⋅ Flemming Kondrup ⋅ Yoshua Bengio
RLSpoofer: A Sample-Efficient Black-Box Spoofing Attack for Stress-Testing LLM Watermarks
Hanbo Huang ⋅ Xuan Gong ⋅ Yiran Zhang ⋅ Hao Zheng ⋅ Wenbin Dai ⋅ Jieren Kuang ⋅ Shiyu Liang
Beyond the Prompt: Leveraging Pre-Decoding States for Jailbreak Detection in dLLMs
Adam Hazimeh ⋅ Amel Abdelraheem ⋅ Ke Wang ⋅ Mariam Salman ⋅ Ljiljana Dolamic ⋅ Gérôme Bovet ⋅ Pascal Frossard
The Containment Gap: How Deployed Agentic AI Frameworks Fail Public-Facing Safety Requirements
Md Jafrin Hossain ⋅ Mohammad A Hossain ⋅ Weiqi Liu ⋅ Nirwan Ansari
Optimizing Message-Driven Recruitment on Networks
Tzeh Yuan Neoh ⋅ Davin Choo ⋅ Milind Tambe
Hand and Brain: Defenses against Agentic Steganography in Language Models
Robert Krzyzanowski ⋅ Iván Arcuschin ⋅ Matthew Lee ⋅ Bryce Meyer ⋅ Georg Lange
Quantifying Risk of Epistemic Harm from the Use of AI Surrogates in Social Science Research
Falaah Arif Khan ⋅ Nivedha Sivakumar ⋅ Yinong O Wang ⋅ Katherine Metcalf ⋅ Cezanne Camacho ⋅ Barry-John Theobald ⋅ Luca Zappella ⋅ Nicholas Apostoloff
Weight-Level Defenses Improve LLM Agent Adversarial Robustness
Mehmet Ozdincer ⋅ Samuel Simko ⋅ Bernhard Schölkopf ⋅ Zhijing Jin
BELLS-O: Evaluating the Operational Trade-offs of LLM Supervision Systems
Leonhard Waibl ⋅ Felix Michalak ⋅ Hadrien Mariaccia
Making Your Action Policies Interpretable: Mixtures of Action Queries
Suhyung Choi ⋅ Youngseok Joo ⋅ Hyundo Lee ⋅ Kyuhwan Shim ⋅ Kisung Shin ⋅ ChungWoo Lee ⋅ Minjeong Gu ⋅ Jun Ki Lee ⋅ Byoung-Tak Zhang
Treat Bias as Noise: Training Bias-Robust LLM Reasoning via Reinforcement Learning
Qian Wang ⋅ Xuandong Zhao ⋅ Zirui Zhang ⋅ Zhanzhi Lou ⋅ Nuo Chen ⋅ Dawn Song ⋅ Bingsheng He
Balance Human Agency & AI Assistance in the Tussle for the ``Right'' to Choose, Own, Work, and Learn
Zi-Yu Khoo ⋅ Yuriel Ryan ⋅ Nicole H Oo ⋅ Hui En Pang ⋅ Eric J Orlowski ⋅ Hakim Norhashim ⋅ Ruth Wan Theng Chew ⋅ Davin Choo ⋅ Rachael Hwee Ling Sim ⋅ Simon Chesterman ⋅ Jungpil Hahn ⋅ Bryan Kian Hsiang Low
$\mathcal{D}^2$-Monitor: $\mathcal{D}$ynamic Safety Monitoring for $\mathcal{D}$iffusion LLMs via Hesitation-Aware Routing
Aoxi Liu ⋅ Yupeng Chen ⋅ James Oldfield ⋅ Guan Zhe Hong ⋅ Junchi Yu ⋅ Baoyuan Wu ⋅ Phil Torr ⋅ Adel Bibi
IsoAct: Structure-Preserving Post-hoc Debiasing via Isometric Actions
Sumin Park ⋅ Taero Kim ⋅ subeen park ⋅ Minhyeong Cho ⋅ Jong H Lee ⋅ Kyungwoo Song
Measuring Weak-to-Strong Legibility of Reasoning Models
Dani Roytburg ⋅ Shreya Sridhar ⋅ Daphne Ippolito
ALIGNBEAM: Inference-Time Alignment Transfer via Cross-Vocabulary Logit Mixing
Chirag Chawla ⋅ Pratinav Seth ⋅ Vinay k Sankarapu
Exposing the Systematic Vulnerability of Open-Weight Models to Prefill Attacks
Lukas Struppek ⋅ Adam Gleave ⋅ Kellin Pelrine
I-Robot: Identifying Robotic and Human Motion in Humanoids
TAEHOON KIM ⋅ Jongwook Choi ⋅ Haeun Noh ⋅ JUNYEUP HWANG ⋅ Jongwon Choi
MMDiff: Multimodal Model Diffing for Feature Discovery and Control
Lachin Naghashyar ⋅ Hunar Batra ⋅ Ashkan Khakzar ⋅ Phil Torr ⋅ Ronald Clark ⋅ Christian Schroeder de Witt ⋅ Constantin Venhoff
Graph-Regularized Sparse Autoencoders for LLM Safety Steering
Jehyeok Yeon ⋅ Federico Cinus ⋅ Yifan Wu ⋅ Luca Luceri
REC-CBM: Rubric-Aware Error-Correction Concept Bottleneck Models for Trustworthy Open-Ended Grading
Chengshuai Zhao ⋅ Fan Zhang ⋅ Kumar S Chaudhary ⋅ Yiwen Li ⋅ Lo Pang-Yun Ting ⋅ Ying-Chih Chen ⋅ huan liu
StylisticBias: A Few Human Visual Cues Drive Most Social Bias in MLLMs
Shaghayegh kolli ⋅ Timo Cavelius ⋅ Nafiseh Nikeghbal ⋅ Samantha Dalal ⋅ Jana Diesner
ESSA: Evolved Safety Specification Alignment
Dongcho Park ⋅ Yeowon Jung ⋅ Sung Jun Cheon
A Low-Rank Subspace Analysis of LLM Interventions
Angira Sharma ⋅ Christian Schroeder de Witt ⋅ Phil Torr ⋅ Anisoara Calinescu ⋅ Jialin Yu
Mechanism Design Is Not Enough: Prosocial Agents for Cooperative AI
Xuanqiang A Huang ⋅ Charlie Tharas ⋅ Samuele Marro ⋅ Van Q. Truong ⋅ Bernhard Schölkopf ⋅ Emanuele La Malfa ⋅ Zhijing Jin
Safer by Diffusion, Broken by Context: Diffusion LLM’s Safety Blessing and Its Failure Mode
Zeyuan He ⋅ Yupeng Chen ⋅ Lang Lin ⋅ Yihan WANG ⋅ Shenxu Chang ⋅ Eric Sommerlade ⋅ Phil Torr ⋅ Junchi Yu ⋅ Adel Bibi ⋅ Jialin Yu
Who Flips? Self- and Cross-Model Challenges Reveal LLM Instability
Nafiseh Nikeghbal ⋅ Amir Hossein Kargaran ⋅ Shaghayegh kolli ⋅ Jana Diesner
Emergent Social Intelligence Risks in Generative Multi-Agent Systems
Yue Huang ⋅ Yu Jiang ⋅ Wenjie Wang ⋅ Haomin Zhuang ⋅ Xiaonan Luo ⋅ Yuchen Ma ⋅ Zhangchen Xu ⋅ Zichen Chen ⋅ Nuno Moniz ⋅ Zinan Lin ⋅ Pin-Yu Chen ⋅ Nitesh Chawla ⋅ Nouha Dziri ⋅ Huan Sun ⋅ Xiangliang Zhang
Do Thinking Tokens Help with Safety?
Narutatsu Ri ⋅ Abhishek Panigrahi ⋅ Sanjeev Arora
Watershed: A Unified Benchmark for End-to-End Data Provenance Evaluation
John Russell Himawan ⋅ Gregory Kang Ruey Lau ⋅ Bryan Kian Hsiang Low
Quantifying Faithful Confidence Expression in Large Reasoning Models
Areeb Gani ⋅ Asal Meskin ⋅ Gabrielle K Liu ⋅ Arman Cohan
Learning from Self Critique and Refinement for Faithful LLM Summarization
Ting-Yao Hu ⋅ Hema Swetha Koppula ⋅ Hadi Pouransari ⋅ Cem Koc ⋅ Oncel Tuzel ⋅ Raviteja Vemulapalli
Strategic Exploitation in LLM Agent Markets: A Simulation Framework for E-Commerce Trust
Shijun Lei ⋅ Quang Nguyen ⋅ Swapneel Mehta ⋅ Zeping Li ⋅ Huichuan Fu ⋅ Xiaolong Zheng ⋅ Siki Chen ⋅ Yunji Liang ⋅ Phil Torr ⋅ Zhenfei Yin
Architecture Matters for Multi-Agent Security
Ben Hagag ⋅ William Anderson ⋅ Christian Schroeder de Witt ⋅ Sarah Scheffler
Distill to Detect: Exposing Stealth Biases in LLMs through Cartridge Distillation
Shayan Talaei ⋅ Abhinav Chinta ⋅ Fnu Devvrit ⋅ Amin Karbasi ⋅ Azalia Mirhoseini ⋅ Amin Saberi
Mechanisms for Aggregated Individual Reporting Should be Established for Post-Deployment Evaluation
Jessica Dai ⋅ Inioluwa Raji ⋅ Benjamin Recht ⋅ Irene Y. Chen
Language Models can Learn High-Capacity Secure Steganography
Georg Lange ⋅ Iván Arcuschin ⋅ Robert Krzyzanowski ⋅ Matthew Lee ⋅ Bryce Meyer
Unmasking the Hidden Fairness, Bias, and Safety Costs of Compression with Mixture-of-Expert Models
Elizabeth Szentmiklossy ⋅ Mike Lasby ⋅ Qiangqiang Mao ⋅ Shaina Raza ⋅ Yani Ioannou
Attractor Inversion: A Geometric Account of Adversarial Manipulation in Human Decision-Making
Leo Lorence George ⋅ Anushri Iyer ⋅ Abhishek Bakshi ⋅ Pavan Kulkarni
Contract Cards for Auditable Private Conformal Prediction
Patrick Indri ⋅ Tamara Drucks ⋅ Georgios Spathoulas
Direction-Flipped Influence Audits Reveal Hidden Structure in Moral Choices of LLMs
Phil Blandfort ⋅ Tushar Karayil ⋅ Alex McKenzie ⋅ Urja Pawar ⋅ Robert Graham ⋅ Dmitrii Krasheninnikov
Marking the Wrong Symptoms: Evaluating LLM Watermarks in Medical Texts
Melanie Rieff ⋅ Robin Staab ⋅ Thibaud Gloaguen ⋅ Stefan Hegselmann ⋅ Martin Vechev
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization
Yiming Tang ⋅ Yi Fan ⋅ Chenxiao Yu ⋅ Tiankai Yang ⋅ Yue Zhao ⋅ Xiyang Hu
EnactToM: An Evolving Benchmark for Functional Theory of Mind in Embodied Agents
Gurusha Juneja ⋅ Dylan Lu ⋅ Saaket Agashe ⋅ Parth Diwane ⋅ Edward Gunn ⋅ Jayanth Srinivasa ⋅ Gaowen Liu ⋅ William Wang ⋅ Yali Du ⋅ Xin (Eric) Wang
Human-AI Collaborative Uncertainty Quantification
Sima Noorani ⋅ Shayan Kiyani ⋅ George Pappas ⋅ Hamed Hassani
Differential Auditing for Undesired Behavior
Ishwar Balasab Balappanawar ⋅ Venkata Hasith Vattikuti ⋅ Greta Kintzley ⋅ Ronan Azimi-Mancel ⋅ Satvik Golechha
Making Open-Source Text LLM Watermarks Durable Against Merging
Luisa Scharff ⋅ Thibaud Gloaguen ⋅ Robin Staab ⋅ Martin Vechev
Steering LLMs to Assist Humans via Scalable Interactive Oversight
Enyu Zhou ⋅ Zhiheng Xi ⋅ LongMa ⋅ Zhihao Zhang ⋅ Shihan Dou ⋅ Zhikai Lei ⋅ Guoteng Wang ⋅ Rui Zheng ⋅ Hang Yan ⋅ Tao Gui ⋅ Qi Zhang ⋅ Xuanjing Huang
Ensemble Monitoring for AI Control: Diverse Signals Outweigh More Compute
Yejun Yun ⋅ Eugene Koran ⋅ Sam Tetef ⋅ Benjamin Arnav ⋅ Pablo Bernabeu-Pérez
BarrierSteer: LLM Safety via Learning Barrier Steering
Thanh Tran ⋅ Arun Verma ⋅ Kiwan Wong ⋅ Bryan Kian Hsiang Low ⋅ Daniela Rus ⋅ Wei Xiao
Provably Optimal Learning Algorithms for Assistance Games
Nivasini Ananthakrishnan ⋅ Mark Bedaywi ⋅ Michael Jordan ⋅ Stuart Russell ⋅ Nika Haghtalab
Beyond Accuracy: Measuring Bias Acknowledgment in Chain-of-Thought Reasoning for Responsible AI Evaluation
Xian Sun ⋅ Yingshuo Wang ⋅ Wei Gao ⋅ Lingdong Kong ⋅ Zexin Zhuang ⋅ Zhichao Fan ⋅ Wenlong Dong ⋅ Hrishikesh Paranjape ⋅ Zhiyuan Zheng
Multi-Agent AI Systems Need Institutional Design, Not Just Model-Level Alignment
Van Q. Truong ⋅ Xuanqiang A Huang ⋅ Erivan Inan ⋅ Ryan Faulkner ⋅ Joel Christoph ⋅ Terry Zhang ⋅ David Guzman Piedrahita ⋅ Zhijing Jin
Context Over Content: Exposing Evaluation Faking in Automated Judges
Manan Gupta ⋅ Inderjeet J Nair ⋅ Lu Wang ⋅ Dhruv Kumar
Intrinsic Guardrails: How Semantic Geometry of Personality Interacts with Emergent Misalignment in LLMs
Krishak Aneja ⋅ Manas Mittal ⋅ Anmol Goel ⋅ Ponnurangam Kumaraguru ⋅ Vamshi Krishna Bonagiri
Three Years of r/ChatGPT: Societal Impact Evaluations from Social Media Data
Jessica Dai ⋅ Sean Garcia ⋅ Emma Pierson ⋅ Benjamin Recht ⋅ Nika Haghtalab
EmoPair: A New Paradigm for Measuring Emotional Affect
Michael L Chrzan ⋅ Meghavarshini Krishnaswamy ⋅ Anika Alam ⋅ Bin Hu ⋅ Wenjing Gao ⋅ Jing Liu
The Bottleneck in AI Governance: Evidence from 1,419 State Bills
Mansur Ali Khan ⋅ Mehmet Efe Akengin ⋅ Osman Salahuddin ⋅ Ahmad A. Rushdi
The Best-Laid SCHEMEs: Coordinated Sabotage and Monitoring in Multi-Agent Systems
Nikolay Radev ⋅ Lennart J Haas ⋅ Benjamin Arnav ⋅ Pablo Bernabeu-Pérez
Belief Engine: Configurable and Inspectable Stance Dynamics in Multi-Agent LLM Deliberation
Joshua C Yang ⋅ Maurice Flechtner ⋅ Damian Dailisan ⋅ Michiel Bakker
In-Context Neurofeedback: Can Large Language Models Control Their Internal Representations through Privileged Access?
Koshiro Aoki ⋅ Ryota Takatsuki ⋅ Gouki Minegishi ⋅ Yusuke Haruki ⋅ Daisuke Kawahara
Evaluating Cooperation in LLM Social Groups through Elected Leadership
Ryan Faulkner ⋅ Anushka Deshpande ⋅ David Guzman Piedrahita ⋅ Joel Z Leibo ⋅ Zhijing Jin
Towards Budget-Aware Agents: Do LLM Agents Know What They Will Spend?
Yuxiang Lin ⋅ Zihan (Zenus) Wang ⋅ Mengyang Liu ⋅ Yuxuan Shan ⋅ Longju Bai ⋅ Junyao Zhang ⋅ Xing Jin ⋅ Boshan Chen ⋅ Jinyan Su ⋅ Xingyao Wang ⋅ Jiaxin Pei ⋅ Manling Li
Position: Collaboration Between the City and the Machine Learning Community is Crucial to Efficient Autonomous Vehicles Routing
Anastasia Psarou ⋅ Ahmet Onur Akman ⋅ Łukasz Gorczyca ⋅ Michał Hoffmann ⋅ Grzegorz Jamróz ⋅ Rafal Kucharski
Scaling Trends for Lie Detector Oversight in Preference Learning
Oskar Hollinsworth ⋅ Ann-Kathrin Dombrowski ⋅ Sam Adam-Day ⋅ Adam Gleave ⋅ Chris Cundy
Auditing Clinical Concept Fragmentation in Sparse Medical Vision–Language Representations
Junah Jung ⋅ YeonGyu Han ⋅ Chang Min Park ⋅ Dongheon Lee
Widening the Gap: Exploiting LLM Quantization via Outlier Injection
Xiaohua Zhan ⋅ Kazuki Egashira ⋅ Robin Staab ⋅ Mark Vero ⋅ Martin Vechev
Toward Trustworthy LLM Router Ecosystems: Incentive-Compatible Cryptographic Mitigations
Kwok Wai Lui ⋅ Shenbao Lu ⋅ Han Wu ⋅ Xin Yang ⋅ Wenyuan Jiang