Computation and Language

Papers filed under cs.CL on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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13,201 to 13,260 of 19,355

BEATs: Audio Pre-Training with Acoustic Tokenizers
Sanyuan Chen, Yu Wu, Chengyi Wang +4
eess.AScs.AIcs.CLarXiv:2212.09058v12022
The German Commons - 154 Billion Tokens of Openly Licensed Text for German Language Models
Lukas Gienapp, Christopher Schröder, Stefan Schweter +5
cs.CLarXiv:2510.13996v12025
Direct Preference Optimization with an Offset
Afra Amini, Tim Vieira, Ryan Cotterell
cs.CLcs.AIcs.LGarXiv:2402.10571v22024
EthicsMH: A Pilot Benchmark for Ethical Reasoning in Mental Health AI
Sai Kartheek Reddy Kasu
cs.CLcs.AIcs.CYarXiv:2509.11648v12025
DirectSpeech2LLM: A Simple End-to-End Framework to Mitigate Prompt Overfitting in Speech-LLMs
Hemant Yadav, Sunayana Sitaram, Roger Zimmermann +1
cs.CLarXiv:2610.08085v12026
A Removal Based Approach to Improve LLM Faithfulness at Test-Time
Qinglan Luo, S M A Nahian, John Guttag +2
cs.AIcs.CLarXiv:2609.04343v12026
CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards
Xiangyuan Xue, Yifan Zhou, Guibin Zhang +7
cs.CLcs.AIarXiv:2510.08529v22025
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers
Chia-Hsuan Lee, Oleksandr Polozov, Matthew Richardson
cs.CLcs.AIcs.DBarXiv:2106.11455v12021
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Yuhao Zhang, Peng Qi, Christopher D. Manning
cs.CLarXiv:1809.10185v12018
DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems
Maojun Sun, Yifei Xie, Yue Wu +5
cs.AIcs.CLarXiv:2601.13591v22026
Kimi K3: Open Frontier Intelligence
Kimi Team, Tongtong Bai, Yifan Bai +399
cs.CLcs.LGarXiv:2607.24653v22026
Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation
Lin Shi, Haowei Lin, Zixuan Zhu +123
cs.AIcs.CLarXiv:2609.04298v32026
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
Huizhuo Yuan, Zixiang Chen, Kaixuan Ji +1
cs.LGcs.AIcs.CLarXiv:2402.10210v12024
IDEEA: training-free Input-Dependent stEEring via Activation cluster matching
Zheng Wang, Muchen Li, Renjie Liao +1
cs.CLcs.LGarXiv:2609.02089v12026
Adaptively Sparse Transformers
Gonçalo M. Correia, Vlad Niculae, André F. T. Martins
cs.CLstat.MLarXiv:1909.00015v22019
Ready2Blend: From Natural-Language Instructions to Composable Alignment Prompts
Jeesu Jung, Hwan Chang, Juseon Do +5
cs.CLcs.AIarXiv:2609.39365v12026
Memory Retrieval and Consolidation in Large Language Models through Function Tokens
Shaohua Zhang, Yuan Lin, Hang Li
cs.CLcs.AIarXiv:2510.08203v12025
Evidence Integration in Large Language Models
Sebastien Kawada, Manolis Kellis
cs.CLcs.AIcs.LGarXiv:2609.04290v12026
Make Your LLM Fully Utilize the Context
Shengnan An, Zexiong Ma, Zeqi Lin +2
cs.CLcs.AIarXiv:2404.16811v22024
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling
Linmei Hu, Chen Li, Chuan Shi +2
cs.IRcs.CLcs.LGarXiv:1910.14025v22019
emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Ziyang Ma, Zhisheng Zheng, Jiaxin Ye +4
cs.CLcs.HCcs.MMarXiv:2312.15185v12023
Llama-Nemotron: Efficient Reasoning Models
Akhiad Bercovich, Itay Levy, Izik Golan +133
cs.CLcs.AIcs.LGarXiv:2505.00949v52025
Evaluating Large Language Models for Forced Outage Risk Prediction: Benefits and Comparison to Machine Learning
Christos Petridis, Zoran Obradovic, Mladen Kezunovic
cs.LGcs.CLarXiv:2609.04272v12026
Open Deep Search: Democratizing Search with Open-source Reasoning Agents
Salaheddin Alzubi, Creston Brooks, Purva Chiniya +9
cs.LGcs.CLcs.IRarXiv:2503.20201v12025
Can Large Language Models Transform Computational Social Science?
Caleb Ziems, William Held, Omar Shaikh +3
cs.CLcs.LGarXiv:2305.03514v32023
STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations
Rishit Dagli, Abir Harrasse, Luke Zhang +4
cs.LGcs.CLarXiv:2606.05165v12026
Contextual Expressive Text-to-Speech
Jianhong Tu, Zeyu Cui, Xiaohuan Zhou +4
eess.AScs.CLcs.LGarXiv:2211.14548v12022
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
Leitian Tao, Ilia Kulikov, Swarnadeep Saha +5
cs.CLcs.LGarXiv:2510.07242v32025
Can LLM Agents Stick to the Script? A Benchmark for Long-Horizon Consistency in Interactive Narratives
Yingpeng Ma, Jianhao Yan, Bei Shi +6
cs.CLcs.AIarXiv:2608.08160v12026
AraT5: Text-to-Text Transformers for Arabic Language Generation
El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed
cs.CLarXiv:2109.12068v42021
ActiveMedAgent: Cost-Aware Trajectory Learning for Multimodal Medical Diagnosis
Weiwei Ma, Xiaobing Yu, Peijie Qiu +5
cs.LGcs.AIcs.CLarXiv:2610.11140v12026
Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents
Avital Shafran, Roei Schuster, Vitaly Shmatikov
cs.CRcs.CLcs.LGarXiv:2406.05870v42024
Can a System-One LLM Perform Knowledge Tracing When Few or No Learners Are Logged?
Unggi Lee, Haeun Park
cs.CLcs.CYcs.LGarXiv:2610.11135v12026
PHRBench: A Behavioral Evaluation of Post-Hallucination Reasoning in LLMs
Linghao Meng, Feng He, Xuan Yang +5
cs.CLcs.AIarXiv:2610.10455v12026
Multi-domain Dialog State Tracking using Recurrent Neural Networks
Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson +5
cs.CLcs.LGarXiv:1506.07190v12015
The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance
Abel Salinas, Fred Morstatter
cs.CLcs.AIarXiv:2401.03729v32024
When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad Responses into Good Labels
Weiyan Shi, Emily Dinan, Kurt Shuster +2
cs.CLcs.AIarXiv:2210.15893v12022
VestigeKV: The NoPE-MLA KV Cache Carries Its Own Sparse-Attention Signal in a Vestigial Branch
WenJie Fan
cs.LGcs.CLarXiv:2609.03949v22026
AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora
Jiaxin Bai, Wei Fan, Qi Hu +17
cs.CLcs.AIarXiv:2505.23628v32025
Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
Piotr Nawrot, Adrian Łańcucki, Marcin Chochowski +2
cs.CLarXiv:2403.09636v22024
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
Tara Safavi, Danai Koutra
cs.CLcs.AIcs.IRarXiv:2009.07810v22020
Prescriptive Scaling Laws for Data Constrained Training
Justin Lovelace, Christian Belardi, Srivatsa Kundurthy +2
cs.LGcs.CLarXiv:2605.01640v12026
Think Again or Think Longer? Selective Verification for Budget-Aware Reasoning
Sajib Acharjee Dip, Dawei Zhou, Liqing Zhang
cs.AIcs.CLarXiv:2606.19808v12026
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Ji Lin, Jiaming Tang, Haotian Tang +7
cs.CLarXiv:2306.00978v62023
Agent-G$^2$: Gaussian Guidance for Agentic Reinforcement Learning
Zixuan Wang, Yanrui Miao, Zhengxi Lu +6
cs.AIcs.CLarXiv:2608.23318v12026
GameCommBench: A Unified Benchmark and Type-Aware Evaluation for AI-Generated Game Commentary
Qirui Zheng, Zhengteng Lin, Yunyi Xiao +7
cs.AIcs.CLarXiv:2610.11129v12026
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
Xingxuan Li, Ruochen Zhao, Yew Ken Chia +4
cs.CLarXiv:2305.13269v42023
ROIC-DM: Robust Text Inference and Classification via Diffusion Model
Shilong Yuan, Wei Yuan, Hongzhi Yin +1
cs.CLarXiv:2401.03514v22024
ChestPheNoT: Deployable, Auditable Label-Status-Evidence Extraction from Radiology Reports
Kai Yu, Chenyu Zhu, Zaifu Zhan +5
cs.CLcs.AIcs.LGarXiv:2609.31629v12026
On Group Relative Policy Optimization Collapse in Agent Search: The Lazy Likelihood-Displacement
Wenlong Deng, Yushu Li, Boying Gong +3
cs.CLarXiv:2512.04220v22025
Hurdles to Progress in Long-form Question Answering
Kalpesh Krishna, Aurko Roy, Mohit Iyyer
cs.CLcs.LGarXiv:2103.06332v22021
State of What Art? A Call for Multi-Prompt LLM Evaluation
Moran Mizrahi, Guy Kaplan, Dan Malkin +3
cs.CLarXiv:2401.00595v32023
Enriching Biomedical Knowledge for Low-resource Language Through Large-Scale Translation
Long Phan, Tai Dang, Hieu Tran +4
cs.CLcs.AIarXiv:2210.05598v32022
Image Chat: Engaging Grounded Conversations
Kurt Shuster, Samuel Humeau, Antoine Bordes +1
cs.CLarXiv:1811.00945v22018
Thinking Like Transformers
Gail Weiss, Yoav Goldberg, Eran Yahav
cs.LGcs.CLarXiv:2106.06981v22021
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
Mingxuan Ju, Wenhao Yu, Tong Zhao +2
cs.CLcs.AIarXiv:2210.02933v22022
EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding
Ziyang Wang, Yue Zhang, Shoubin Yu +6
cs.CVcs.AIcs.CLarXiv:2605.09874v22026
Less is More: Task-aware Layer-wise Distillation for Language Model Compression
Chen Liang, Simiao Zuo, Qingru Zhang +3
cs.CLcs.AIcs.LGarXiv:2210.01351v32022
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems
Shaokun Zhang, Ming Yin, Jieyu Zhang +8
cs.MAcs.CLarXiv:2505.00212v32025
Best Prompts for Text-to-Image Models and How to Find Them
Nikita Pavlichenko, Dmitry Ustalov
cs.HCcs.CLcs.CVarXiv:2209.11711v32022

Computation and Language

BEATs: Audio Pre-Training with Acoustic Tokenizers

The German Commons - 154 Billion Tokens of Openly Licensed Text for German Language Models

Direct Preference Optimization with an Offset

EthicsMH: A Pilot Benchmark for Ethical Reasoning in Mental Health AI

DirectSpeech2LLM: A Simple End-to-End Framework to Mitigate Prompt Overfitting in Speech-LLMs

A Removal Based Approach to Improve LLM Faithfulness at Test-Time

CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards

KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction

DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems

Kimi K3: Open Frontier Intelligence

Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation

Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation

IDEEA: training-free Input-Dependent stEEring via Activation cluster matching

Adaptively Sparse Transformers

Ready2Blend: From Natural-Language Instructions to Composable Alignment Prompts

Memory Retrieval and Consolidation in Large Language Models through Function Tokens

Evidence Integration in Large Language Models

Make Your LLM Fully Utilize the Context

Graph Neural News Recommendation with Long-term and Short-term Interest Modeling

emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation

Llama-Nemotron: Efficient Reasoning Models

Evaluating Large Language Models for Forced Outage Risk Prediction: Benefits and Comparison to Machine Learning

Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Can Large Language Models Transform Computational Social Science?

STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations

Contextual Expressive Text-to-Speech

Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense

Can LLM Agents Stick to the Script? A Benchmark for Long-Horizon Consistency in Interactive Narratives

AraT5: Text-to-Text Transformers for Arabic Language Generation

ActiveMedAgent: Cost-Aware Trajectory Learning for Multimodal Medical Diagnosis

Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents

Can a System-One LLM Perform Knowledge Tracing When Few or No Learners Are Logged?

PHRBench: A Behavioral Evaluation of Post-Hallucination Reasoning in LLMs

Multi-domain Dialog State Tracking using Recurrent Neural Networks

The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance

When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad Responses into Good Labels

VestigeKV: The NoPE-MLA KV Cache Carries Its Own Sparse-Attention Signal in a Vestigial Branch

AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora

Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Prescriptive Scaling Laws for Data Constrained Training

Think Again or Think Longer? Selective Verification for Budget-Aware Reasoning

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Agent-G$^2$: Gaussian Guidance for Agentic Reinforcement Learning

GameCommBench: A Unified Benchmark and Type-Aware Evaluation for AI-Generated Game Commentary

Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources

ROIC-DM: Robust Text Inference and Classification via Diffusion Model

ChestPheNoT: Deployable, Auditable Label-Status-Evidence Extraction from Radiology Reports

On Group Relative Policy Optimization Collapse in Agent Search: The Lazy Likelihood-Displacement

Hurdles to Progress in Long-form Question Answering

State of What Art? A Call for Multi-Prompt LLM Evaluation

Enriching Biomedical Knowledge for Low-resource Language Through Large-Scale Translation

Image Chat: Engaging Grounded Conversations

Thinking Like Transformers

Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering

EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding

Less is More: Task-aware Layer-wise Distillation for Language Model Compression

Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems

Best Prompts for Text-to-Image Models and How to Find Them