Lossfunk Papers

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2026

• Philosophy • Metaphysical Concepts Should Be Judged by Consequences [⭐ ICML 2026 - main conference]
• RL • Discovering Reinforcement Learning Interfaces with Large Language Models [⭐ Reinforcement Learning Conference (RLC) 2026 - main] • (website, code)
• Consciousness • AI Consciousness Requires Validated Models of Human Consciousness [AAAI 2026 Symposium on Machine Consciousness] • (mirror)
• World Models • See, Symbolize, Act: Grounding VLMs with Spatial Representations for Better Gameplay [LM Reasoning Workshop at AAAI, 2026] • (website, code)
• LLMs • EsoLang-Bench: Evaluating Genuine Reasoning in Large Language Models via Esoteric Programming Languages [Logical Reasoning and ICBINB workshops at ICLR, 2026] • (website, code, dataset)
• LLMs • Making Large Language Models Speak Tulu: Structured Prompting for an Extremely Low-Resource Language Tulu [LoResLM Workshop at EACL, 2026] • (code)
• Agents • Automated Stateful Specialization for Adaptive Agent Systems [⭐ ICLR 2026 - main conference]
• Benchmarks • ISO-Bench: Can Coding Agents Optimize Real-World Inference Workloads? [VerifAI-2 Workshop at ICLR, 2026] • (website, code, dataset)
• Bias in AI • Language Models Entangle Language and Culture [Language Models for Underserved Communities Workshop at AAAI, 2026] • (website, code, dataset)
• Ethics • Building Interpretable Models for Moral Decision-Making [Machine Ethics Workshop at AAAI, 2026] • (code)
• AI for science • METIS: Mentoring Engine for Thoughtful Inquiry & Solutions [AI for Scientific Research Workshop at AAAI, 2026] • (code)
• AI for science • Why LLMs Aren't Scientists Yet: Lessons from Four Autonomous Research Attempts [Arxiv preprint, 2026] (website, ai written paper, prompts)

2025

• LLMs • Future Is Unevenly Distributed: Forecasting Ability of LLMs Depends on What We're Asking [Assessing and Improving Reliability of Foundation Models Workshop at AAAI, 2026]
• LLMs • The Sequential Edge: Inverse-Entropy Voting Beats Parallel Self-Consistency at Matched Compute [Efficient Reasoning Workshop at NeurIPS, 2025]
• LLMs • Think Just Enough: Sequence-Level Entropy as a Confidence Signal for LLM Reasoning [Foundations of Reasoning Models Workshop at NeurIPS, 2025]
• LLMs • IPO: Your Language Model is Secretly a Preference Classifier [⭐ ACL 2025 - main conference] • (code)

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