TimeSeriesScientist: A General-Purpose AI Agent for Time Series Analysis 2025-10-03 Rethinking Thinking Tokens: LLMs as Improvement Operators 2025-10-03 Spectral Scaling Laws in Language Models: How Effectively Do Feed-Forward Networks Use Their Latent Space? 2025-10-03 One-Token Rollout: Guiding Supervised Fine-Tuning of LLMs with Policy Gradient 2025-10-03 Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs 2025-10-03 Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression 2025-10-03 IoT-MCP: Bridging LLMs and IoT Systems Through Model Context Protocol 2025-10-03 DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search 2025-10-02 GEM: A Gym for Agentic LLMs 2025-10-02 VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators 2025-10-02 Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation 2025-10-02 PIPer: On-Device Environment Setup via Online Reinforcement Learning 2025-10-02 SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights 2025-10-02 Code2Video: A Code-centric Paradigm for Educational Video Generation 2025-10-02 ACON: Optimizing Context Compression for Long-horizon LLM Agents 2025-10-02 It Takes Two: Your GRPO Is Secretly DPO 2025-10-02 BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses 2025-10-02 Why Can’t Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls 2025-10-02 EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing 2025-10-02 QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL 2025-10-02 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340
