Paper-Conference

Simulating the Emergence of Differential Case Marking with Communicating Neural-Network Agents
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Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
Recent work suggests that large language models enhanced with retrieval-augmented generation are easily influenced by the order in …
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EurekaRebus - Verbalized Rebus Solving with LLMs: A CALAMITA Challenge
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Non Verbis, Sed Rebus: Large Language Models Are Weak Solvers of Italian Rebuses
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BabyLM Challenge: Exploring the effect of variation sets on language model training efficiency
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Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
Ensuring the verifiability of model answers is a fundamental challenge for retrieval-augmented generation (RAG) in the question …
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Multi-property Steering of Large Language Models with Dynamic Activation Composition
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NeLLCom-X: A Comprehensive Neural-Agent Framework to Simulate Language Learning and Group Communication
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The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models
Following multiple instructions is a crucial ability for large language models (LLMs). Evaluating this ability comes with significant …
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Democratizing Advanced Attribution Analyses of Generative Language Models with the Inseq Toolkit
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