NeurIPS 2024PastLarge language modelsFairness & ethics
Workshop on Socially Responsible Language Modelling Research
SoLaR
- Submission deadline
- Sep 15, 2024, 15:00 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (71)
Fetched from OpenReview (v2) on 2026-06-10.
A Cautionary Tale on the Evaluation of Differentially Private In-Context Learning
AI Sandbagging: Language Models can Selectively Underperform on Evaluations
An Adversarial Perspective on Machine Unlearning for AI Safety
Analyzing Probabilistic Methods for Evaluating Agent Capabilities
Auto-Enhance: Towards a Meta-Benchmark to Evaluate AI Agents' Ability to Improve Other Agents
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards
Beyond the Binary: Capturing Diverse Preferences With Reward Regularization
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
Century: A Dataset of Sensitive Historical Images
CoS: Enhancing Personalization with Context Steering
Detection of Partially-Synthesized LLM Text
Developing an occupational prestige scale using Large Language Models
Developing Story: Case Studies of Generative AI’s Use in Journalism
Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach
Differentially Private Learning Needs Better Model Initialization and Self-Distillation
Emergence of Steganography Between Large Language Models
Enhancing Language Model Calibration to Human Responses in Ethical Ambiguity via Fine-Tuning
Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?
Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
Gender Bias in LLM-generated Interview Responses
GPAI Evaluations Standards Taskforce: towards effective AI governance
HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection
Honesty to Subterfuge: In-Context Reinforcement Learning Can Make Honest Models Reward Hack
How Does LLM Compression Affect Weight Exfiltration Attacks?
I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench
Investigating Goal-Aligned and Empathetic Social Reasoning Strategies for Human-Like Social Intelligence in LLMs
Jailbreak Defense in a Narrow Domain: Failures of Existing Methods and Improving Transcript-Based Classifiers
Jailbreaking Large Language Models with Symbolic Mathematics
Just rephrase it! Uncertainty estimation in closed-source language models via multiple rephrased queries
Language Models Resist Alignment
Large Language Models Still Exhibit Bias in Long Text
Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
Levels of Autonomy: Liability in the age of AI Agents
Linear Probe Penalties Reduce LLM Sycophancy
LLM Alignment Using Soft Prompt Tuning: The Case of Cultural Alignment
LLM Hallucination Reasoning with Zero-shot Knowledge Test
Measuring AI Agent Autonomy: Towards a Scalable Approach With Code Inspection
Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis Simulations
MISR: Measuring Instrumental Self-Reasoning in Frontier Models
Mitigating Downstream Model Risks via Model Provenance
Monitoring Human Dependence On AI Systems With Reliance Drills
NusaMT-7B: Machine Translation for Low-Resource Indonesian Languages with Large Language Models
On Adversarial Robustness of Language Models in Transfer Learning
On Demonstration Selection for Improving Fairness in Language Models
On the Ethical Considerations of Generative Agents
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
Plentiful Jailbreaks with String Compositions
Policy Dreamer: Diverse Public Policy Generation Via Elicitation and Simulation of Human Preferences
Position Paper: Model Access should be a Key Concern in AI Governance
Position: AI Agents & Liability – Mapping Insights from ML and HCI Research to Policy
Position: Governments Need to Increase and Interconnect Post-Deployment Monitoring of AI
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
ReFeR: A Hierarchical Framework of Models as Evaluative and Reasoning Agents
Report Cards: Qualitative Evaluation of LLMs Using Natural Language Summaries
SafetyAnalyst: Interpretable, transparent, and steerable LLM safety moderation
Salad-Bowl-LLM: Multi-Culture LLMs by In-Context Demonstrations from Diverse Cultures
Sandbag Detection through Model Impairment
SCAR: Sparse Conditioned Autoencoders for Concept Detection and Steering in LLMs
Shh, don't say that! Domain Certification in LLMs
Simulation System Towards Solving Societal-Scale Manipulation
SocialStigmaQA Spanish and Japanese - Towards Multicultural Adaptation of Social Bias Benchmarks
Targeted Manipulation and Deception Emerge in LLMs Trained on User* Feedback
THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models
The Elicitation Game: Stress-Testing Capability Elicitation Techniques
The Impact of Large Language Models in Academia: from Writing to Speaking
The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions
Towards a Theory of AI Personhood
Towards Safe Multilingual Frontier AI
Toxic Neurons Aren’t Enough to Explain DPO: A Mechanistic Analysis for Toxicity Reduction
Understanding Model Bias Requires Systematic Probing Across Tasks
Ways Forward for Global AI Benefit Sharing