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Computation & Language / NLP
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Newest papers, page 27
SimXAI: A Simple Drop-in Layer Increases Interaction Quality and Understanding in Conversational XAI
Conversational explainable AI (ConvXAI) agents often use GUS-style architectures with separate modules for intent recognition, dialogue management, and template-based response generation.Text as an Index for Zero-Shot Cross-Domain Knowledge Tracing
Knowledge tracing (KT) predicts a student's next response from their history.How Much Can Tool Calls Reveal About You? Privacy Leakage from Tool-Call Traces
Large language model (LLM)-based agents interact with external tools through protocols such as the Model Context Protocol (MCP), producing tool-call traces that may expose behavioral signals about…Completeness and Cost of Retrieval Structures for Multi-Tool Requests in LLM Agents
An agent that must call several tools to fulfill a request fails when the tool retriever omits any one of them, yet tool retrievers are mostly built and evaluated on queries requiring a single tool.Aligning MLLMs with the Latent Structure of Human Cognition via Behavior-Derived Semantic Dimensions
Multimodal Large Language Models (MLLMs) have achieved impressive performance across a wide range of reasoning tasks, yet it remains unclear whether their internal representations and decision…DAMI: Dual-Axis Memory Initialization for Enhanced Long-Context Retrieval in Gated Linear Attention
Linear attention scales linearly with sequence length, but its finite-state memory can limit long-context retrieval.Less Loss, Fixed Weights: Logit Corrections for Forgetting
When a language model is fine-tuned to follow instructions, or further pretrained on a new subject, it often gets worse at predicting standard web text.TurnTurk-GPT: Text-Based Turn-Taking Prediction for Turkish
This paper presents TurnTurk-GPT, a text-based turn-taking predictor for Turkish obtained by fine-tuning a Turkish GPT-2 model with the TurnGPT objective on synthetic and real dialogue, and…Asynchronous Flow Map Language Models
The order in which tokens are predicted in language modeling has a profound impact on the quality of generated sequences.CRoS: Causality Reward on Scrambled CoTs Improves Accuracy and Reasoning Faithfulness
Reinforcement learning with verifiable rewards (RLVR) has become the standard method for training language models to reason.PersonaChatBench: Evaluating Chat Assistants with Diverse Simulated Users
Conversational assistants are expected to help people with diverse backgrounds, preferences, and communication styles.The Knowledge Layer Model (KLM): Evidence-Visible AI Output, Routing Diagnostics, and Negative Results
AI answers require more than apparent correctness: reviewers need to inspect their recorded basis.RangeSWA: Training-Free Length Extrapolation for Continuous Diffusion Language Models
Continuous diffusion language models show promising potential in text generation tasks, but are prone to problems such as text repetition, semantic drift, and generation quality degradation when the…Subquadratic Attention with a Hierarchical Tree-Structured Indexer
The quadratic scaling of attention is a fundamental bottleneck limiting the long-context capabilities of large language models (LLMs).DecisionRank: On-Policy Distillation for Decision-Model Rerankers
Decision models target structured tasks by directly predicting choices or scores, avoiding autoregressive decoding latency.Flide: Accelerating Decision Inference with Exact State Forking
Decision models such as Jev have emerged as a highly promising paradigm for LLM agent systems, providing lightweight and reliable categorical reasoning for rapid System One execution.Latent Reasoning in Continuous Space for Unified Multimodal Models
Unified Multimodal Models (UMMs) achieve remarkable success on diverse multimodal understanding and generation tasks, yet they still struggle to effectively leverage language-based chain-of-thought…From Fragmentation to Fusion: A Survey and Roadmap for Omnimodal Embeddings
Embedding models underpin virtually every modern AI system, from search engines to recommendation systems.MEMENTO: Learning Context Management for Long Context Processing Agents
LLM agents that operate over long inputs must perform context management: deciding what to retain in a fixed-size context window.Teach, Abstract, Apply: A Framework for Dialogue-Driven Task Learning with Collaborative Robots
Collaborative robots (cobots) are designed to be safer and more interactive than traditional industrial robots, share the same workspace as humans, and assist them in a range of shop-floor tasks…