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Papers
On Linear Representations and Pretraining Data Frequency in Language Models
ICLR 2025
Online Preference Alignment for Language Models via Count-based Exploration
ICLR 2025
Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models
ACL 2025
On Pruning State-Space LLMs
EMNLP 2025
On Support Samples of Next Word Prediction
ACL 2025
On the Correspondence between the Squared Norm and Information Content in Text Embeddings
EMNLP 2025
On the Interplay between Positional Encodings, Morphological Complexity, and Word Order Flexibility
IJCNLP 2025
On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena
NAACL 2025
On the Role of Attention Heads in Large Language Model Safety
ICLR 2025
On the Transferability of Causal Knowledge for Language Models
NAACL 2025
Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
EMNLP 2025
OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees
ICLR 2025
Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics
EMNLP 2025
Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models
EMNLP 2025
Optimizing Hidden Markov Language Models: An Empirical Study of Reparameterization and Initialization Techniques
NAACL 2025
Optimizing Language Models for Inference Time Objectives using Reinforcement Learning
ICML 2025
“Otherwise” in Context: Exploring Discourse Functions with Language Models
EMNLP 2025
OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature
EMNLP 2025
PanicToCalm: A Proactive Counseling Agent for Panic Attacks
EMNLP 2025
ParamΔ for Direct Mixing: Post-Train Large Language Model At Zero Cost
ICLR 2025
Paraphrase Generation Evaluation Powered by an LLM: A Semantic Metric, Not a Lexical One
COLING 2025
Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning
EMNLP 2025
PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks
ICLR 2025
Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
ICLR 2025
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
ICLR 2025