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Computation & Language / NLP
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Newest papers, page 165
Improving Diversity in LLM Short Story Generation
Large language models (LLMs) can generate accurate responses, but these are void of diversity.ufakzeka-karar: An Open Turkish Typed-Decision Model with Order-Invariant Option Scoring
ufakzeka-karar is an open Turkish decision model with 182,494,466 parameters.Balancing Memory Pathways: Analyzing and Improving Memory Utilization in Hybrid LMs
Recurrent-attention hybrid language models (LMs), which interleave attention and recurrent layers, are increasingly used to combine the efficiency of the recurrent layers with the strong performance…IdeaLens: Detecting AI Ideas in Long-form Writing
While modern AI detectors identify who wrote the words, emerging policies on AI use increasingly hinge on a different question: who came up with the ideas?T-Search: An Open Agentic Retriever and Playground for Hard Multi-Step Search
We present T-Search, an open-weight agentic retriever for hard multi-step search.Paradee: Distilling Kokoro-82M into an 8M-Parameter Single-Voice Text-to-Speech Model
We distill Kokoro-82M, a widely used open text-to-speech model with 54 voices, into Paradee, an 8.07M-parameter model that speaks one of them.PlotGround: Grounding Plot Digitization in Real Scientific Figures and Their Source Data
Scientific figures often encode quantitative results that are not readily available in machine-readable form, making accurate plot digitization important for verifying and reusing published findings.CLIFT: Conformal Self-Verification for Web Agent Training and Test-Time Scaling
Open-source web agents are now strong enough to execute realistic browser tasks, but training them with reinforcement learning still depends on weak supervision: binary task success is too sparse…MemPilot: Orchestrating On-Demand Multimodal Memory Curation for LLM Agents
Memory has become integral to the LLM agent ecosystem, supporting information retention and reuse across interactions.Recursive Video In-Context Learning for Agentic Robot
LLM agents that orchestrate frozen vision-language-action (VLA) policies improve across episodes through text memory, which records what the agent did but not how the task is done.Base Models Can Reason By Taking a Cue From Training Data
In this paper, we study how training data creates associations between the tokens at the start of a base model's response and the reasoning behavior that follows.GIVE-KWS: Gated Injection of Visual Evidence for Noise-Robust Query-by-Example Keyword Spotting
Visual speech promises noise-robust keyword spotting, yet a visual stream is not necessarily used.SEAL: Mixture-Closed Additive Reconstruction and Refinement-Aware Expert Routing for Efficient Speech Separation
Compact time-frequency separators that mask the mixture and refine through a shared cell face two limits.Learning to Simulate Individuals from Macro Social Signals
Large language models are increasingly used to simulate how individuals respond to new situations, yet the behavioral reasoning behind these responses is either inherited from pretraining or learned…Turnslide: Scalable Multi-Turn Data Synthesis by Walking a Finite-State Machine
Small language models are inexpensive to serve and can run on private infrastructure, but base models are often not good enough at multi-turn tool calling, and fine-tuning them needs per-API data…Smart Content Ingestion for Generative AI Workloads
The evolution of machine learning has progressively changed where intelligence resides in an AI system.JudgeMoE: Distributional Aggregation for LLM-as-a-Judge
When an LLM judge scores an output, its score distribution retains uncertainty and disagreement information that is lost after scalar compression.Jailbreaking Open-Weight LLMs via Random Embedding Perturbations
While open-weight models have enjoyed steady progress in capabilities and wide adoption across multiple domains, their safety remains an important concern.CroissantMiner: Automated Extraction and Validation of Croissant Metadata for ML Datasets
Croissant has emerged as a standard for machine-readable dataset metadata, yet populating its fields remains labor-intensive and requires careful reading of accompanying dataset documentation.A theory of platonic representations in language models
Representations of translated sentences are similar in the inner layers of multilingual language models -- an observation connected to the platonic representation hypothesis, yet unexplained…