NeurIPS 2024PastOther
Language Gamification - NeurIPS 2024 Workshop
LanGame
- Submission deadline
- Oct 6, 2024, 23:59 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (39)
Fetched from OpenReview (v2) on 2026-06-10.
AidanBench: Evaluating Novel Idea Generation on Open-Ended Questions
Automated Design of Agentic Systems
Beyond Benchmarking: Automated Capability Discovery via Model Self-Exploration
Boundless Socratic Learning with Language Games
Communication via Shared Memory Improves Multi-agent Pathfinding
CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing
Creativity Has Entered the Chat, With a Stranger: Novelty is a Nash Equilibrium
Dynamic Planning with a LLM
Economics Arena for Large Language Models
Efficacy of Language Model Self-Play in Non-Zero-Sum Games
Embodied LLM Agents Learn to Cooperate in Organized Teams
Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation
Estimating Effects of Tokens in Preference Learning
Evaluating the role of ‘Constitutions’ for learning from AI feedback
Evolving Alignment via Asymmetric Self-Play
GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents
Games as Ontology Engines: AI and LLMs Invoke Spatiotemporal and Metaphysical Realities in Virtual Worlds
Improving Branching Language via Self-Reflection
LlaMa meets Cheburashka: impact of cultural background for LLM quiz reasoning
Mimicking Human Emotions: Persona-Driven Behavior of LLMs in the ‘Buy and Sell’ Negotiation Game
Multi-Step Preference Optimization via Two-Player Markov Games
On Reward Functions For Self-Improving Chain-of-Thought Reasoning Without Supervised Datasets (Abridged Version)
OnThePlanning Abilities of OpenAI’s o1 Models: Feasibility, Optimality, and Generalizability
PACE: Procedural Abstractions for Communicating Efficiently
PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making
PokéChamp: an Expert-level Minimax Language Agent for Competitive Pokémon
Positive Experience Reflection for Agents in Interactive Text Environments
Reinterpreting Signaling and Referential Games as Generative Models
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
S2L-RM: Short-to-Long Reward Modeling
Sample-Efficient Alignment for LLMs
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search
Sharing Minds during MARL Training for Enhanced Cooperative LLM Agents
Situated Instruction Following Under Ambiguous Human Intent
Strategic Collusion of LLM Agents: Market Division in Multi-Commodity Competitions
Strategic Interactions between Large Language Models-based Agents in Beauty Contests
Stutter Makes Smarter: Learning Self-Improvement for Large Language Models
TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation
What Makes Your Model a Low-empathy or Warmth Person: Exploring the Oringins of Personality in LLMs