AI & Machine Learning · Computer Science & AI
Computation & Language / NLP
The newest papers in Computation & Language / NLP that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
The newest 5,000 papers, from 17 September 2026 to 5 November 2026: 5,000 arXiv preprints.
Get the few papers worth your time in Computation & Language / NLP every morning.
Follow Computation & Language / NLP and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 43
BehaviorMem: Building and Evaluating User Memory from Real-World E-Commerce Behavior Streams
User memory helps personalized systems build on their understanding of users over time.Text Is the Bottleneck: A Small-Scale Replication of LLM Game Playing in Riichi Mahjong
We replicate the riichi-mahjong track of "Can Large Language Models Master Complex Card Games?" (arXiv:2509.01328) under a drastically smaller budget: models of at most 2B parameters, one 16 GB…Position Matters More Than Channel: Talking a Language Model Out of a Correct Answer
Language models now answer questions alongside other claims: a note in the system prompt, a message from another agent, their own earlier answer.Semantic Atoms for Scalable Text Analysis in Data Analytics in the Era of LLM-Based Agents
Much of the information needed for data analysis is buried in text columns: an analyst may infer customer frustration from complaint text and use it to explain resolution time.Priority-Preserving Advantage Aggregation for Multi-Reward Policy Optimization
LLM post-training often optimizes multiple objectives with unequal priorities, such as correctness and reasoning efficiency.DocTalk: Enhancing Medical Knowledge Retrieval via Fine-tuned Large Language Models with Chain-of-Thought Reasoning for Robust Clinical Decision Support
The rapid advancement of large language models (LLMs) in healthcare has opened new possibilities for AI-assisted clinical decision-making; however, safe and effective deployment remains challenging…Adaptive Retrieval, Selective Answers: Evaluating Conformal Factuality in Agentic RAG
Retrieval-augmented generation (RAG) can improve factual grounding without guaranteeing that every generated claim is supported.RubriX: A Fast, Fine-Tunable Non-Autoregressive Rubric Judge
Rubric-based evaluation asks which level of a rubric a response meets.ThinkBit: Search Codewords, Recalibrate Scales, Select by Reasoning
Reasoning language models generate thousands of tokens per answer, and generation speed is limited by memory bandwidth, so storing weights in two bits instead of bfloat16 can potentially make…NumTrace: Auditing the Number Provenance of Financial Analyst Agents
A numerical claim generated by a financial analyst agent can match a number in a company filing but refer to the wrong entity, concept, period, unit or scope.FATE-5: Faithful Alignment of Trait Expression for Continuous Big Five Personality Control
Controlling personality in large language models is important for building conversational agents that can be customized to different users and interaction settings.What Outcome RL Buys: Finishing, Reliability, Rarely Reach
Outcome RL raises pass@1 but not pass@k at large k (Yue et al., 2025).Correlation-Aware Exploration for Long-Trace Reasoning
Reasoning models trained with Group Relative Policy Optimization (GRPO) now produce chains of thought thousands of tokens long, and recent studies reveal that such training is prone to policy…Improving Reasoning with Rollout Agreement for Group-Based Policy Optimization
Recent methods for Reinforcement Learning with Verifiable Rewards (RLVR) use rollout diversity to improve reasoning performance or training efficiency.SVD-Attention: Efficiently Analyzing Attention Blocks in Transformers
Pretrained transformers spend a large share of their inference compute inside self-attention, yet the per-head query-key interaction is structurally low-rank by construction.AskGLP1: A Knowledge Graph LLM Agent for Exploring GLP-1 Experience from Online Patient Narratives
GLP-1 medications are increasingly used for weight management, and many people share their experiences online.Diagnosing and Mitigating Long-Session Degradation in Full-Duplex Speech Models
End-to-end full-duplex spoken dialogue models enable natural, real-time spoken interactions with interruptions, backchannels, and overlapping speech.Reason or Recite: Complementary Specialists with an LLM Judge for Traffic Anomaly Reasoning
Road anomalies such as collisions, violations, and sudden hazards demand more from video understanding than detection: a practical system must verify what happened, describe the scene, and explain…When the Persona Contradicts the Line: Diagnosing Plan-to-Synthesis Failures in Chain-of-Thought TTS
Chain-of-thought TTS systems rely on language-model planners to translate persona and context into vocal delivery, but it is unclear where this intent is lost when the requested affect conflicts…Synthetic Child-Adult Interactions Are Not Developmentally Plausible
Synthetic data has become a common resource for training language models, and this trend has spilled over into research on developmentally plausible language modeling.