conftrace_

language model

4599 papers

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Also known as

LMS LM

Co-occurring keywords

large language model (13587) text generation (2913) text classification (6793) transfer learning (5449) question answering (2963) representation learning (6206) knowledge distillation (3725) pre-trained language model (1515) few-shot learning (3398) zero-shot learning (3650)

Papers

FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation ACL 2025
Training-free LLM Merging for Multi-task Learning ACL 2025
Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection ACL 2025
Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web Corpora ACL 2025
Improving Parallel Sentence Mining for Low-Resource and Endangered Languages ACL 2025
Advancing Sequential Numerical Prediction in Autoregressive Models ACL 2025
Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results ACL 2025
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens ACL 2025
Language Fusion for Parameter-Efficient Cross-lingual Transfer ACL 2025
Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs ACL 2025
OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction ACL 2025
Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models ACL 2025
Do Language Models Understand Honorific Systems in Javanese? ACL 2025
Subword models struggle with word learning, but surprisal hides it ACL 2025
Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation ACL 2025
Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes ACL 2025
Information Locality as an Inductive Bias for Neural Language Models ACL 2025
Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning ACL 2025
Causal Estimation of Tokenisation Bias ACL 2025
Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory ACL 2025
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation ACL 2025
Language Model Probabilities are Not Calibrated in Numeric Contexts ACL 2025
Retrofitting Large Language Models with Dynamic Tokenization ACL 2025
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries ACL 2025
ConLoan: A Contrastive Multilingual Dataset for Evaluating Loanwords ACL 2025